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ORCIDCoRR, February 2022
- Samuele Marro, Luca Donno:
Green NFTs: A Study on the Environmental Impact of Cryptoart Technologies. - John Chiang:
On Polynomial Approximation of Activation Function. - Daryll Ralph D'Costa, Robert Abbas:
5G enabled Mobile Edge Computing security for Autonomous Vehicles. - Chi Hong, Jiyue Huang, Lydia Y. Chen:
MEGA: Model Stealing via Collaborative Generator-Substitute Networks. - Sayantan Kumar:
Identifying Interpretable Clinical Subtypes withinHeterogeneous Dementia Clinic Population. - Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Learning Fair Representations via Rate-Distortion Maximization. - Natasha Alkhatib, Maria Mushtaq, Hadi Ghauch, Jean-Luc Danger:
AVTPnet: Convolutional Autoencoder for AVTP anomaly detection in Automotive Ethernet Networks. - Stella Bounareli, Vasileios Argyriou, Georgios Tzimiropoulos:
Finding Directions in GAN's Latent Space for Neural Face Reenactment. - Zhenpeng Zhao, Niklas Elmqvist:
The Stories We Tell About Data: Media Types for Data-Driven Storytelling. - Soroor Shekarizadeh, Razieh Rastgoo, Saif Al-Kuwari, Mohammad Sabokrou:
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data. - Shivam Garg, Alexander Ihler, Sunil Kumar:
Accurate Link Lifetime Computation in Autonomous Airborne UAV Networks. - Md Rajib Hossen, Mohammad A. Islam:
A Lightweight Workload-Aware Microservices Autoscaling with QoS Assurance. - Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener:
SnAKe: Bayesian Optimization with Pathwise Exploration. - Andrea Medaglia, Andrea Tosin, Mattia Zanella:
Monte Carlo stochastic Galerkin methods for non-Maxwellian kinetic models of multiagent systems with uncertainties. - Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun:
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach. - Moeen Mostafavi, Michael D. Porter, Dawn T. Robinson:
Learning affective meanings that derives the social behavior using Bidirectional Encoder Representations from Transformers. - Anders Sundnes Løvlie, Astrid Waagstein, Peter Hyldgård:
"How trustworthy is this research?" Designing a Tool to Help Readers Understand Evidence and Uncertainty in Science Journalism. - Ege Berkay Gulcan, Fazli Can:
Implicit Concept Drift Detection for Multi-label Data Streams. - Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun:
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. - Tiangang Cui, Xin Tong, Olivier Zahm:
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems. - Zihui Xue, Yuedong Yang, Mengtian Yang, Radu Marculescu:
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning. - Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson:
You May Not Need Ratio Clipping in PPO. - Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson:
Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO. - Elynn Y. Chen, Rui Song, Michael I. Jordan:
Reinforcement Learning with Heterogeneous Data: Estimation and Inference. - Zhenxun Zhuang, Mingrui Liu, Ashok Cutkosky, Francesco Orabona:
Understanding AdamW through Proximal Methods and Scale-Freeness. - Viet Quoc Vo, Ehsan Abbasnejad, Damith C. Ranasinghe:
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models. - Bao Tran Truong, Oliver Melbourne Allen, Filippo Menczer:
News Sharing Networks Expose Information Polluters on Social Media. - Ruo-Qian Wang, Yangmin Ding:
Semi-supervised Identification and Mapping of Surface Water Extent using Street-level Monitoring Videos. - Amir Shirian, Krishna Somandepalli, Tanaya Guha:
Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data. - Mohammad Amin Haghpanah, Ehsan Saeedizade, Mehdi Tale Masouleh, Ahmad Kalhor:
Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks. - Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson:
Generalization in Cooperative Multi-Agent Systems. - Andrew Corbett, Dmitry Kangin:
Imbedding Deep Neural Networks. - Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics. - Aleksandr Perevalov, Dennis Diefenbach, Ricardo Usbeck, Andreas Both:
QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers. - B. G. Kodge:
3D Visualization and Spatial Data Mining for Analysis of LULC Images. - Tanmay Garg, Sarah Masud, Tharun Suresh, Tanmoy Chakraborty:
Handling Bias in Toxic Speech Detection: A Survey. - Shirin Panahi, Nelson Amaya, Isaac S. Klickstein, Galen Novello, Francesco Sorrentino:
Reply to comment on "Failure of the simultaneous block diagonalization technique applied to complete and cluster synchronization of random networks". - Anirudha Majumdar, Vincent Pacelli:
Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning. - Jeff A. Bilmes:
Submodularity In Machine Learning and Artificial Intelligence. - Steven Platt, Berkay Demirel, Miquel Oliver:
Using Transition Learning to Enhance Mobile-Controlled Handoff In Decentralized Future Networks. - Alexey V. Lebedev, Ilya Vorobyev, Vladimir S. Lebedev, Christian Deppe:
Non-adaptive and two-stage coding over the Z-channel. - Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Timo Schenk, Adrian Lars Benjamin Iten, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors. - Pedro H. Azevedo de Amorim:
A Sampling-Aware Interpretation of Linear Logic: Syntax and Categorical Semantics. - Ben Adcock, Juan M. Cardenas, Nick C. Dexter:
An Adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains. - Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K. Warmuth:
Step-size Adaptation Using Exponentiated Gradient Updates. - Aleksey A. Kocherzhenko, Nirmal Sobha Kartha, Tengfei Li, Hsin-Yi Shih, Marco Mandic, Mike Fuller, Arshak Navruzyan:
Evaluating Deep Vs. Wide & Deep Learners As Contextual Bandits For Personalized Email Promo Recommendations. - Liyu Chen, Rahul Jain, Haipeng Luo:
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints. - Amir Iqbal, Sushant Veer, Yan Gu:
DRS-LIP: Linear Inverted Pendulum Model for Legged Locomotion on Dynamic Rigid Surfaces. - Jae Hun Ro, Felix Stahlberg, Ke Wu, Shankar Kumar:
Transformer-based Models of Text Normalization for Speech Applications. - Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron C. Courville:
Fortuitous Forgetting in Connectionist Networks. - Yesheng Zhang, Xu Zhao, Dahong Qian:
Learning-Based Framework for Camera Calibration with Distortion Correction and High Precision Feature Detection. - Sugandha Sharma, Sarthak Chandra, Ila R. Fiete:
Content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold. - Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel:
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. - Xi Mo, Xiangyu Chen, Cuncong Zhong, Rui Li, Kaidong Li, Usman Sajid:
Dilated Continuous Random Field for Semantic Segmentation. - Priyanka Mandikal, Kristen Grauman:
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video. - Emre Sariyildiz:
Design Constraints of Disturbance Observer-based Motion Control Systems are Stricter in the Discrete-Time Domain. - Emre Sariyildiz:
A Unified Robust Motion Controller Synthesis for Compliant Robots Driven by Series Elastic Actuators. - Badr Al Faiya, Dimitrios Athanasiadis, Minjiang Chen, Stephen D. J. McArthur, Ivana Kockar, Haowei Lu, Francisco de León:
A self-organizing multi-agent system for distributed voltage regulation. - James Ivers, Robert L. Nord, Ipek Ozkaya, Chris Seifried, Christopher Steven Timperley, Marouane Kessentini:
Industry Experiences with Large-Scale Refactoring. - Tao Yu, Kiyomichi Araki, Kei Sakaguchi:
Ground Experiment of Full-Duplex Multi-UAV System Enabled by Directional Antennas. - Tao Yu, Kiyomichi Araki, Kei Sakaguchi:
Full-Duplex Aerial Communication System for Multiple UAVs with Directional Antennas. - Tao Yu, Kento Kajiwara, Kiyomichi Araki, Kei Sakaguchi:
Spectrum Sharing between Directional-Antenna- Equipped UAV System and Terrestrial Systems. - Wei-Cheng Tseng, Hung-Ju Liao, Yen-Chen Lin, Min Sun:
CLA-NeRF: Category-Level Articulated Neural Radiance Field. - Jianren Wang, Haiming Gang, Siddarth Ancha, Yi-Ting Chen, David Held:
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks. - Ty Trusty, Danny M. Kaufman, David I. W. Levin:
Mixed Variational Finite Elements for Implicit, General-Purpose Simulation of Deformables. - Kurt Leimer, Paul Guerrero, Tomer Weiss, Przemyslaw Musialski:
ATEK: Augmenting Transformers with Expert Knowledge for Indoor Layout Synthesis. - Jin-Hyun Ahn, Kyung Sang Kim, Jeongwan Koh, Quanzheng Li:
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning. - Haoyuan Fu, Wenqiang Xu, Han Xue, Huinan Yang, Ruolin Ye, Yongxi Huang, Zhendong Xue, Yanfeng Wang, Cewu Lu:
RFUniverse: A Physics-based Action-centric Interactive Environment for Everyday Household Tasks. - Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds. - Matthew F. Wipperman, Galen Pogoncheff, Katrina F. Mateo, Xuefang Wu, Yiziying Chen, Oren Levy, Andreja Avbersek, Robin R. Deterding, Sara C. Hamon, Tam Vu, Rinol Alaj, Olivier Harari:
A pilot study of the Earable device to measure facial muscle and eye movement tasks among healthy volunteers. - Masaki Yasuhara, Tomoya Takahashi, Hiroki Maruta, Hiroyuki Saito, Shota Higuchi, Takaaki Nara, Keitaro Takeuchi, Yota Sakai, Kazuki Ishibashi:
INPUT Team Description Paper in 2022. - Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu:
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. - Hrishikesh Terdalkar, Arnab Bhattacharya, Madhulika Dubey, Ramamurthy S, Bhavna Naneria Singh:
Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text. - Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. - Arman Rasoodl Faridi, Faraz Masood, Ali Haider Thabet Shamsan, Mohammad Luqman, Monir Yahya Salmony:
Blockchain in the Quantum World. - Gabriele Farina, Chung-Wei Lee, Haipeng Luo, Christian Kroer:
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games. - Anup Rao, Oscar Sprumont:
On List Decoding Transitive Codes From Random Errors. - Kenji Koide, Masashi Yokozuka, Shuji Oishi, Atsuhiko Banno:
Globally Consistent and Tightly Coupled 3D LiDAR Inertial Mapping. - Haresh Karnan, Garrett Warnell, Faraz Torabi, Peter Stone:
Adversarial Imitation Learning from Video using a State Observer. - Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang:
Sequential Search with Off-Policy Reinforcement Learning. - Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa:
ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters. - Tania Sidana, Navin Kashyap:
Entanglement-Assisted Quantum Error-Correcting Codes over Local Frobenius Rings. - Fahina, Shwetha U, Poorna, Supriya, Rama Moorthy H, Vasudeva:
Securing the data in cloud using Algebra Homomorphic Encryption scheme based on updated Elgamal(AHEE). - P. N. Priya, R. Ranjitha, Yashaswini Naik, Shrilekha, Rama Moorthy H:
A Novel Algorithm In Steganography Using Weighted Matching Technique. - P. N. Priya, R. Ranjitha, Yashaswini Naik, Shrilekha, Rama Moorthy H:
A Novel Pair and Matching Algorithm for Embedding Secret Messages in Images. - Shayne Longpre, Julia Reisler, Edward Greg Huang, Yi Lu, Andrew J. Frank, Nikhil Ramesh, Chris DuBois:
Active Learning Over Multiple Domains in Natural Language Tasks. - Chung-Yiu Yau, Hoi-To Wai:
DoCoM-SGT: Doubly Compressed Momentum-assisted Stochastic Gradient Tracking Algorithm for Communication Efficient Decentralized Learning. - Max van Haren, Maurice Poot, Jim Portegies, Tom Oomen:
Position-Dependent Snap Feedforward: A Gaussian Process Framework. - Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu:
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics. - Jathushan Rajasegaran, Chelsea Finn, Sergey Levine:
Fully Online Meta-Learning Without Task Boundaries. - Jens Sjölund, Maria Bånkestad:
Graph-based Neural Acceleration for Nonnegative Matrix Factorization. - Teru Nagamori, Hiroki Ito, April Pyone Maung Maung, Hitoshi Kiya:
Access Control of Object Detection Models Using Encrypted Feature Maps. - Wonyong Jeong, Sung Ju Hwang:
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching. - Axel Sauer, Katja Schwarz, Andreas Geiger:
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets. - Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar:
Architecture Matters in Continual Learning. - Thien Hoang Nguyen, Lihua Xie:
Relative Transformation Estimation Based on Fusion of Odometry and UWB Ranging Data. - Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? - Luca Herranz-Celotti, Jean Rouat:
Surrogate Gradients Design. - Dajana Conte, Gianluca Frasca Caccia:
Exponentially fitted methods with a local energy conservation law. - Thomas Feys, Gilles Callebaut, Liesbet Van der Perre, François Rottenberg:
Measurement-Based Validation of Z3RO Precoder to Prevent Nonlinear Amplifier Distortion in Massive MIMO Systems. - Marvin Geiselhart, Moustafa Ebada, Ahmed Elkelesh, Jannis Clausius, Stephan ten Brink:
Automorphism Ensemble Decoding of Quasi-Cyclic LDPC Codes by Breaking Graph Symmetries. - Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. - Nir Oren
, Bruno Yun, Srdjan Vesic, Murilo S. Baptista:
The Inverse Problem for Argumentation Gradual Semantics. - Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
A novel Large Eddy Simulation model for the Quasi-Geostrophic Equations in a Finite Volume setting. - Jinzhang Liu:
Research on Question Classification Methods in the Medical Field. - Zhichao Han, David S. Kammer, Olga Fink:
Learning Physics-Consistent Particle Interactions. - Qiujie Dong, Zixiong Wang, Junjie Gao, Shuang-Min Chen, Zhenyu Shu, Shiqing Xin:
Laplacian2Mesh: Laplacian-Based Mesh Understanding. - Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler H. Summers, John Lygeros:
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation. - Giovanni Barbarino, Carlo Garoni, Mariarosa Mazza, Stefano Serra-Capizzano:
Rectangular GLT Sequences. - Clemens Seibold, Johannes Künzel, Anna Hilsmann, Peter Eisert:
From Explanations to Segmentation: Using Explainable AI for Image Segmentation. - Chen Griner, Gil Einziger, Chen Avin:
Self-Adjusting Ego-Trees Topology for Reconfigurable Datacenter Networks. - Alina Chertock, Pierre Degond, Giacomo Dimarco, Mária Lukácová-Medvid'ová, A. Ruhi:
On a hybrid continuum-kinetic model for complex fluids. - Wei Wei, Jingjing Wang, Jun Du, Zhengru Fang, Chunxiao Jiang, Yong Ren:
Underwater Differential Game: Finite-Time Target Hunting Task with Communication Delay. - Timon Felske, Stefan Lüdtke, Sebastian Bader, Thomas Kirste:
Activity Recognition in Assembly Tasks by Bayesian Filtering in Multi-Hypergraphs. - Olesya Mryglod, Yurij Holovatch, Ralph Kenna:
Big fish and small ponds: why the departmental h-index should not be used to rank universities. - Matteo Marsili, Yasser Roudi:
Quantifying Relevance in Learning and Inference. - Dmitry Mineev, Evgeny Bobrov, Viktor Kuznetsov:
On the Interference Cancellation by Reduced Channel Zero Forcing Class of Precodings in Massive MIMO Systems. - Pierre Carbonnelle, Simon Vandevelde, Joost Vennekens, Marc Denecker:
IDP-Z3: a reasoning engine for FO(.). - Coenraad Mouton, Marelie H. Davel:
Exploring layerwise decision making in DNNs. - Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. - Uday Kusupati, Venkata Ravi Teja Ailavarapu:
Natural Language to Code Using Transformers. - Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. - Amin Abolghasemi, Suzan Verberne, Leif Azzopardi:
Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization. - Inna Suvorova:
Deepfake pornography as a male gaze on fan culture. - Markus Lohmayer, Sigrid Leyendecker:
EPHS: A Port-Hamiltonian Modelling Language. - Thien-Minh Nguyen, Shenghai Yuan, Muqing Cao, Yang Lyu, Thien Hoang Nguyen, Lihua Xie:
NTU VIRAL: A Visual-Inertial-Ranging-Lidar Dataset, From an Aerial Vehicle Viewpoint. - Jonas Bei, David Pomerenke, Lukas Schreiner, Sepideh Sharbaf, Pieter Collins, Nico Roos:
Explainable AI through the Learning of Arguments. - Umang Aggarwal, Adrian Popescu, Eden Belouadah, Céline Hudelot:
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning. - Anandhu Suresh, Karnam Venkata Manga Raju:
A Novel Method to Estimate Tilt Angle of a Body using a Pendulum. - Wenhao Sun, Deng Liu, Zhiwei Zou, Wendi Sun, Junpeng Wang, Yi Kang, Song Chen:
Sense: Model Hardware Co-design for Accelerating Sparse Neural Networks. - Umang Aggarwal, Adrian Popescu, Céline Hudelot:
Minority Class Oriented Active Learning for Imbalanced Datasets. - Xiaoting Shao, Karl Stelzner, Kristian Kersting:
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement. - Marcelo Fonseca Faraj, Christian Schulz:
Recursive Multi-Section on the Fly: Shared-Memory Streaming Algorithms for Hierarchical Graph Partitioning and Process Mapping. - Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama:
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification. - Dimosthenis Antypas, Alun D. Preece, José Camacho-Collados:
Politics and Virality in the Time of Twitter: A Large-Scale Cross-Party Sentiment Analysis in Greece, Spain and United Kingdom. - Lidia Aceto, Fabio Durastante:
Efficient computation of the Wright function and its applications to fractional diffusion-wave equations. - Karla Markert, Donika Mirdita, Konstantin Böttinger:
Language Dependencies in Adversarial Attacks on Speech Recognition Systems. - Shaan ul Haque, Siddharth Chandak, Federico Chiariotti, Deniz Gündüz, Petar Popovski:
Learning to Speak on Behalf of a Group: Medium Access Control for Sending a Shared Message. - Quentin Possamaï, Steeven Janny, Guillaume Bono, Madiha Nadri, Laurent Bako, Christian Wolf:
MoCap-less Quantitative Evaluation of Ego-Pose Estimation Without Ground Truth Measurements. - Krzysztof Sadowski, Michal Szarmach, Eddie Mattia:
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings. - Patrick M. Jensen, Niels Jeppesen, Anders B. Dahl, Vedrana Andersen Dahl:
Review of Serial and Parallel Min-Cut/Max-Flow Algorithms for Computer Vision. - Jie Chen, Weiqi Liu, Jian Pu:
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination. - Colin McDonagh:
Counting Unreachable Single-Side Pawn Diagrams with Limitless Captures. - Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci:
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. - Weiyang Wang, Moein Khazraee, Zhizhen Zhong, Zhijao Jia, Dheevatsa Mudigere, Ying Zhang, Anthony Kewitsch, Manya Ghobadi:
TopoOpt: Optimizing the Network Topology for Distributed DNN Training. - Jiayao Zhang, Hongming Zhang, Dan Roth, Weijie J. Su:
Causal Inference Principles for Reasoning about Commonsense Causality. - Georgii S. Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Dimitrov, Ivan V. Oseledets:
Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction. - Ildikó Pilán, Pierre Lison, Lilja Øvrelid, Anthi Papadopoulou, David Sánchez, Montserrat Batet:
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization. - Gauthier Tallec, Arnaud Dapogny, Kevin Bailly:
Multi-Order Networks for Action Unit Detection. - Chengliang Zhong, Chao Yang, Jinshan Qi, Fuchun Sun, Huaping Liu, Xiaodong Mu, Wenbing Huang:
Sim2Real Object-Centric Keypoint Detection and Description. - Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
Evaluating Feature Attribution: An Information-Theoretic Perspective. - Liang Liao, Sen Lin, Lun Li, Xiuwei Zhang, Song Zhao, Yan Wang, Xinqiang Wang, Qi Gao, Jingyu Wang:
Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra. - Naoki Ide, Masayuki Ohzeki:
Sparse Signal Reconstruction with QUBO Formulation in l0-regularized Linear Regression. - Caroline S. Wagner, Xiaojing Cai:
Changes in co-publication patterns among China, the European Union (28) and the United States of America, 2016-2021. - Abhijith Neil Abraham, Fariz Rahman, Damanpreet Kaur:
TableQuery: Querying tabular data with natural language. - Yuanfan Guo, Minghao Xu, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu:
HCSC: Hierarchical Contrastive Selective Coding. - Giambattista Albora, Andrea Zaccaria:
Firm-based relatedness using machine learning. - Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen:
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. - Yaoming Zhu, Liwei Wu, Shanbo Cheng, Mingxuan Wang:
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus. - Chenghao Fan, Ziao Li, Wei Wei:
Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning. - Konstantin Todorov, Giovanni Colavizza:
An Assessment of the Impact of OCR Noise on Language Models. - (Withdrawn) Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study.
- Robert Vacareanu, Marco Antonio Valenzuela-Escárcega, George Caique Gouveia Barbosa, Rebecca Sharp, Mihai Surdeanu:
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction. - Yue Tong Leung, Farzad Khalvati:
Exploring COVID-19 Related Stressors Using Topic Modeling. - Ülkü Tuncer Küçüktas, Fatih Uysal, Firat Hardalaç, Ismail Biri:
Detection of Increased Time Intervals of Anti-Vaccine Tweets for COVID-19 Vaccine with BERT Model. - Tanish Tyagi:
NeuraHealthNLP: An Automated Screening Pipeline to Detect Undiagnosed Cognitive Impairment in Electronic Health Records with Deep Learning and Natural Language Processing. - Alvin Chaidrata, Mariyam Imtha Shafeeu, Sze Ker Chew, Zhiyuan Chen, Jin Sheng Cham, Zi Li Yong, Uen Hsieh Yap, Dania Imanina Binti Kamarul Bahrin:
Intent Matching based Customer Services Chatbot with Natural Language Understanding. - Asadullah Al Galib:
RabindraNet, Creating Literary Works in the Style of Rabindranath Tagore. - Teng Wang:
Auto-ABSA: Automatic Detection of Aspects in Aspect-Based Sentiment Analysis. - Carl Allen:
Towards a Theoretical Understanding of Word and Relation Representation. - Oren Fivel:
Analysis of Linear Time-Varying & Periodic Systems. - Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan:
A Framework for Server Authentication using Communication Protocol Dialects. - Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt, He Wang:
Fine-grained differentiable physics: a yarn-level model for fabrics. - Mohammad Hassan Adeli, Alphan Sahin:
Multi-cell Non-coherent Over-the-Air Computation for Federated Edge Learning. - Tim Salimans, Jonathan Ho:
Progressive Distillation for Fast Sampling of Diffusion Models. - Stephany Rajeh, Ali Yassin, Ali Jaber, Hocine Cherifi:
Analyzing Community-aware Centrality Measures Using The Linear Threshold Model. - Stephany Rajeh, Marinette Savonnet, Éric Leclercq, Hocine Cherifi:
Comparing Community-aware Centrality Measures in Online Social Networks. - Stephany Rajeh, Marinette Savonnet, Éric Leclercq, Hocine Cherifi:
Identifying Influential Nodes Using Overlapping Modularity Vitality. - Jacob D. Baron, R. W. R. Darling:
Empirical complexity of comparator-based nearest neighbor descent. - Zhaoning Yu, Hongyang Gao:
MotifExplainer: a Motif-based Graph Neural Network Explainer. - Adolfo R. Escobedo:
Fast and Exact Matrix Factorization Updates for Nonlinear Programming. - Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat:
Examining Scaling and Transfer of Language Model Architectures for Machine Translation. - Zhaoning Yu, Hongyang Gao:
Molecular Graph Representation Learning via Heterogeneous Motif Graph Construction. - Yi Zhou, Liangcai Zhou, Di Shi, Xiaoying Zhao:
Coordinated Frequency Control through Safe Reinforcement Learning. - Daoming Lyu, Bo Liu, Jianshu Chen:
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent. - Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang:
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning. - Yuan Wu, Diana Inkpen, Ahmed El-Roby:
Maximum Batch Frobenius Norm for Multi-Domain Text Classification. - Zhiqi Kang, Mostafa Sadeghi, Radu Horaud, Xavier Alameda-Pineda, Jacob Donley, Anurag Kumar:
The impact of removing head movements on audio-visual speech enhancement. - Toktam A. Oghaz, Ivan Garibay:
Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media. - Louis Esperet, Sergey Norin:
Testability and local certification of monotone properties in minor-closed classes. - Mariia Seleznova, Gitta Kutyniok:
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization. - Benton J. Anderson, Jesse G. Meyer:
Finding the optimal human strategy for Wordle using maximum correct letter probabilities and reinforcement learning. - Frazer Chard, Cayo Fletcher-Smith:
Blockchain scalability for smart contract systems using eUTXO model. - Alexander Neb, Iyed Briki, Raoul Schönhof:
Development of a neural network to recognize standards and features from 3D CAD models. - Andrés M. Rueda-Ramírez, Will Pazner, Gregor J. Gassner:
Subcell limiting strategies for discontinuous Galerkin spectral element methods. - Philip Smith, Vitaliy Kurlin:
Families of point sets with identical 1D persistence. - Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein:
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. - Shaymaa Abdulla Al-Delayel:
Security Analysis of Mobile Banking Application in Qatar. - Antonino Favano, Luca Barletta, Alex Dytso:
On the Capacity Achieving Input of Amplitude Constrained Vector Gaussian Wiretap Channel. - A. Das, S. R. Das, J. P. Panda, Ankita Dey, K. K. Gajrani, N. Somani, N. Gupta:
Machine learning based modelling and optimization in hard turning of AISI D6 steel with newly developed AlTiSiN coated carbide tool. - Sigrun May, Sven Hartmann, Frank Klawonn:
Combined Pruning for Nested Cross-Validation to Accelerate Automated Hyperparameter Optimization for Embedded Feature Selection in High-Dimensional Data with Very Small Sample Sizes. - Matteo Castiglioni, Alberto Marchesi, Nicola Gatti:
Bayesian Persuasion Meets Mechanism Design: Going Beyond Intractability with Type Reporting. - Manuel Parra-Royon, Francisco Javier Baldan, Ghislain Atemezing, José Manuel Benítez:
Semantic of Cloud Computing services for Time Series workflows. - Alessandro Artale, Andrea Mazzullo, Ana Ozaki:
First-order Temporal Logic on Finite Traces: Semantic Properties, Decidable Fragments, and Applications. - Thomas Kingsford:
A General, Evolution-Inspired Reward Function for Social Robotics. - Vijay V. Vazirani:
Insights into the Core of the Assignment Game via Complementarity. - Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner:
Regret Minimization with Performative Feedback. - Sven Burdorf, Karoline Plum, Daniel Hasenklever:
Reducing the Amount of Real World Data for Object Detector Training with Synthetic Data. - Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu:
Efficient Policy Space Response Oracles. - Mohamed Seif, Dung Nguyen, Anil Vullikanti, Ravi Tandon:
Differentially Private Community Detection for Stochastic Block Models. - Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. - Jason P. Bell:
Topological invariants for words of linear factor complexity. - Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok:
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs. - Priyanka Kaswan, Sennur Ulukus:
Timely Gossiping with File Slicing and Network Coding. - Daniel Flam-Shepherd, Alexander Zhigalin, Alán Aspuru-Guzik:
Scalable Fragment-Based 3D Molecular Design with Reinforcement Learning. - Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge J. Belongie:
Stay Positive: Non-Negative Image Synthesis for Augmented Reality. - Klemen Kotar, Roozbeh Mottaghi:
Interactron: Embodied Adaptive Object Detection. - Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner:
Questions for Flat-Minima Optimization of Modern Neural Networks. - Nguyen Phong Hoang, Michalis Polychronakis, Phillipa Gill:
Measuring the Accessibility of Domain Name Encryption and Its Impact on Internet Filtering. - Brandon Amos:
Tutorial on amortized optimization for learning to optimize over continuous domains. - Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell:
Typical Decoding for Natural Language Generation. - Johan Edstedt, Mårten Wadenbäck, Michael Felsberg:
Deep Kernelized Dense Geometric Matching. - Karla Markert, Romain Parracone, Mykhailo Kulakov, Philip Sperl, Ching-Yu Kao, Konstantin Böttinger:
Visualizing Automatic Speech Recognition - Means for a Better Understanding? - Eduardo M. Vasconcelos:
Just Another Method to Compute MTTF from Continuous Time Markov Chain. - Amir Ardalan Kalantari, Mohammad Amini, Sarath Chandar, Doina Precup:
Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers. - Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen:
Should I take a walk? Estimating Energy Expenditure from Video Data. - Cheng-Hsiang Chiu, Tsung-Wei Huang, Zizheng Guo, Yibo Lin:
Pipeflow: An Efficient Task-Parallel Pipeline Programming Framework using Modern C++. - Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Personalized Federated Learning via Convex Clustering. - Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Gradient Based Clustering. - Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff:
Physical Design using Differentiable Learned Simulators. - Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox:
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. - Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz:
Framework for Evaluating Faithfulness of Local Explanations. - Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. - Zhijing Li, Yuwei Ye, Stephen Neuendorffer, Adrian Sampson:
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators. - Nishai Kooverjee, Steven James, Terence L. van Zyl:
Investigating Transfer Learning in Graph Neural Networks. - Dario Stabili, Raffaele Romagnoli, Mirco Marchetti, Bruno Sinopoli, Michele Colajanni:
Exploring the consequences of cyber attacks on Powertrain Cyber Physical Systems. - Reiner Jung, Sven Gundlach, Wilhelm Hasselbring:
Thematic Domain Analysis for Ocean Modeling. - Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar:
An Empirical Study of Modular Bias Mitigators and Ensembles. - Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez, Nathan Hewitt, Christopher Neff, Hamed Tabkhi:
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation. - Justin Cano, Jerome Le Ny:
Ranging-Based Localizability-Constrained Deployment of Mobile Robotic Networks. - Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur:
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition. - Mark Loveland, Eirik Valseth, Matt Lukac, Clint N. Dawson:
Extending FEniCS to Work in Higher Dimensions Using Tensor Product Finite Elements. - Alejandro Fontán, Laura Oliva-Maza, Javier Civera, Rudolph Triebel:
A Model for Multi-View Residual Covariances based on Perspective Deformation. - Ke Sun, Yingnan Zhao, Yi Liu, Bei Jiang, Linglong Kong:
Distributional Reinforcement Learning via Sinkhorn Iterations. - Kyrylo Kolodiazhnyi:
Local Feature Matching with Transformers for low-end devices. - Mohamed Khalid M. Jaffar, Michael W. Otte:
PiP-X: Online feedback motion planning/replanning in dynamic environments using invariant funnels. - Bradley McDanel, Helia Dinh, John Magallanes:
Accelerating DNN Training with Structured Data Gradient Pruning. - Timothy W. Hostetler, Shinyi Chen, Sergi Blanco-Cuaresma, Alberto Accomazzi, Michael J. Kurtz, Carolyn S. Grant, Edwin A. Henneken, Donna M. Thompson, Roman Chyla, Golnaz Shapurian, Matthew R. Templeton, Kelly E. Lockhart, Nemanja Martinovic, Stephen McDonald, Félix Grèzes:
Web accessibility trends and implementation in dynamic web applications. - Caroline S. Wagner, Lin Zhang, Loet Leydesdorff:
A discussion of measuring the top-1 percent most-highly cited publications: Quality and impact of Chinese papers. - Yunjae Hwang, Laura Kwong, Mohammad Saeed Munim, Fosiul Alam Nizame, Stephen Luby, Catherine Gorlé:
Modeling ventilation in a low-income house in Dhaka, Bangladesh. - Peizhao Li, Hongfu Liu:
Achieving Fairness at No Utility Cost via Data Reweighing. - Jiawei Xu, Diego F. Salazar-D'Antonio, David Saldaña:
Modular Multi-Rotors: From Quadrotors to Fully-Actuated Aerial Vehicles. - Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm:
Team Belief DAG Form: A Concise Representation for Team-Correlated Game-Theoretic Decision Making. - Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
On Regularizing Coordinate-MLPs. - Edwin Goh, Jingdao Chen, Brian Wilson:
Mars Terrain Segmentation with Less Labels. - Domenic Rosati:
Learning to pronounce as measuring cross-lingual joint orthography-phonology complexity. - Anh Duc Le:
Disaster Tweets Classification using BERT-Based Language Model. - Maohao Shen, Yuheng Bu, Gregory W. Wornell:
On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation. - Elizabeth Hou, Joanna Brown, John Fisher:
Hierarchical Entity Alignment for Attribute-Rich Event-Driven Graphs. - Shubham Atreja, Libby Hemphill, Paul Resnick:
What is the Will of the People? Moderation Preferences for Misinformation. - Xinyu Chen, Ian Beaver:
A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts. - Ferran Vidal-Codina, Nicolas Evans, Bahaeddine El Fakir, Johsan Billingham:
Automatic event detection in football using tracking data. - Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang:
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. - Tatsuya Chuman, Hitoshi Kiya:
Security Evaluation of Block-based Image Encryption for Vision Transformer against Jigsaw Puzzle Solver Attack. - Jie Ding, Eric W. Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang:
Federated Learning Challenges and Opportunities: An Outlook. - Hongwei Jin, Xun Chen:
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs. - Janek Gödeke, Gaël Rigaud:
Imaging based on Compton scattering: model-uncertainty and data-driven reconstruction methods. - Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska, Leticia Campo, Helen Jones, David C. Wedge, Chris Holmes, Korsuk Sirinukunwattana, Heba Sailem, Clare Verrill, Jens Rittscher:
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples. - H. J. Terry Suh, Max Simchowitz, Kaiqing Zhang, Russ Tedrake:
Do Differentiable Simulators Give Better Policy Gradients? - Tom Blau, Edwin V. Bonilla, Amir Dezfouli, Iadine Chades:
Optimizing Sequential Experimental Design with Deep Reinforcement Learning. - Hunter Lang, Monica Agrawal, Yoon Kim, David A. Sontag:
Co-training Improves Prompt-based Learning for Large Language Models. - Wesley Joon-Wie Tann:
Quantum Remote Entanglement for Medium-Free Secure Communication? - Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi:
Algorithms for Efficiently Learning Low-Rank Neural Networks. - (Withdrawn) On-Sensor Binarized Fully Convolutional Neural Network with A Pixel Processor Array.
- Anne Harrington, Arturo Deza:
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks. - Jiawei Lu, He Wang, Tianjia Shao, Yin Yang, Kun Zhou:
Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction. - Josh Johnston, Tim Andersen:
Random Processes with High Variance Produce Scale Free Networks. - Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan:
Adaptive Experimentation with Delayed Binary Feedback. - Bo Zhang, Jiayao Zhang:
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts. - Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Active Audio-Visual Separation of Dynamic Sound Sources. - Yixin Cao, Jianxin Wang, Hanchun Yuan:
Modification Problems toward Proper (Helly) Circular-arc Graphs. - Yuchi Huo:
Extension: Adaptive Sampling with Implicit Radiance Field. - Greg Ongie, Rebecca Willett:
The Role of Linear Layers in Nonlinear Interpolating Networks. - Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu:
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods. - Yan Gao, Qimeng Wang, Xu Tang, Haochen Wang, Fei Ding, Jing Li, Yao Hu:
Decoupled IoU Regression for Object Detection. - Youngsun Wi, Pete Florence, Andy Zeng, Nima Fazeli:
VIRDO: Visio-tactile Implicit Representations of Deformable Objects. - Ramya Burra, Chandramani Singh, Joy Kuri:
Service Scheduling for Random Requests with Quadratic Waiting Costs. - Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. - Younes Karimi, Anna Cinzia Squicciarini, Peter K. Forster, Kira M. Leavitt:
A Longitudinal Dataset of Twitter ISIS Users. - Younes Karimi, Anna Cinzia Squicciarini, Shomir Wilson:
Automated Detection of Doxing on Twitter. - Rodolfo Valiente, Behrad Toghi, Ramtin Pedarsani, Yaser P. Fallah:
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic. - Syed Adnan Yusuf, Abdulmalik Ali Aldawsari, Riad Souissi:
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts. - Zengrui Liu, Umar Iqbal, Nitesh Saxena:
Opted Out, Yet Tracked: Are Regulations Enough to Protect Your Privacy? - Yifu Wang, Wenqing Jiang, Kun Huang, Sören Schwertfeger, Laurent Kneip:
Accurate calibration of multi-perspective cameras from a generalization of the hand-eye constraint. - Kirill Aleksandrovich Bashmur, Vadim Sergeevich Tynchenko, Vladimir Viktorovich Bukhtoyarov, Mikhail V. Saramud:
Choice of technology and evaluation of the production capabilities of a 3d printer robot for creating elements of experimental equipment for the production of biofuel components. - Kirill Aleksandrovich Bashmur, V. S. Tynchenko, V. V. Bukhtoyarov, M. V. Saramud:
Robot-printer for creating elements of technological equipment for the production of components of biofuel compositions. - Michal Konecný, Sewon Park, Holger Thies:
Extracting efficient exact real number computation from proofs in constructive type theory. - Takehiro Tanaka, Alon Harell, Ivan V. Bajic:
Does Video Compression Impact Tracking Accuracy? - Jaeyeon Ahn, Taehyeon Kim, Seyoung Yun:
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces. - Richard Bean:
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical Challenge. - Pierre Carbonnelle, Matthias van der Hallen, Marc Denecker:
Quantification and aggregation over concepts of the ontology. 213-226 - Willem Conradie, Andrea De Domenico, Krishna Manoorkar, Alessandra Palmigiano, Mattia Panettiere, Daira Pinto Prieto, Apostolos Tzimoulis:
Modal reduction principles across relational semantics. - Nikunj Arora, Markku Suomalainen, Matti Pouke, Evan G. Center, Katherine J. Mimnaugh, Alexis P. Chambers, Sakaria Pouke, Steven M. LaValle:
Augmenting Immersive Telepresence Experience with a Virtual Body. - Akshat Shrivastava, Shrey Desai, Anchit Gupta, Ali Elkahky, Aleksandr Livshits, Alexander Zotov, Ahmed Aly:
Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing. - Naman Shah, Siddharth Srivastava:
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning. - Ankit Katiyar, Arnav Bhavsar:
Image Forgery Detection with Interpretability. - Hao Shi, Yifan Zhou, Kailun Yang, Xiaoting Yin, Kaiwei Wang:
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving. - Yifang Chen, Simon S. Du, Kevin Jamieson:
Active Multi-Task Representation Learning. - Ankit Grover, Vaishali Yadav, Bradly Alicea:
Flipping the switch on local exploration: Genetic Algorithms with Reversals. - Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee, Gunhee Kim:
Lipschitz-constrained Unsupervised Skill Discovery. - Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe:
Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. - Sharif Azem, Anam Tahir, Heinz Koeppl:
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms. - George Stamatakis, Nikolaos Pappas, Alexandros G. Fragkiadakis, Apostolos Traganitis:
Semantics-Aware Active Fault Detection in Status Updating Systems. - Jannik Fischbach, Julian Frattini, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner, Andreas Wehrle, Pablo Restrepo Henao, Parisa Yousefi, Tedi Juricic, Jeannette Radduenz, Carsten Wiecher:
Automatic Creation of Acceptance Tests by Extracting Conditionals from Requirements: NLP Approach and Case Study. - Patrick Kolpaczki, Viktor Bengs, Eyke Hüllermeier:
Non-Stationary Dueling Bandits. - Selim Amrouni, Aymeric Moulin, Tucker Balch:
CTMSTOU driven markets: simulated environment for regime-awareness in trading policies. - Mojtaba Bemana, Karol Myszkowski, Jeppe Revall Frisvad, Hans-Peter Seidel, Tobias Ritschel:
Eikonal Fields for Refractive Novel-View Synthesis. - Johannes von Lindheim:
Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters. - Eunjeong Jeong, Matteo Zecchin, Marios Kountouris:
Asynchronous Decentralized Learning over Unreliable Wireless Networks. - Bulut Kuskonmaz, Jaron Skovsted Gundersen, Rafal Wisniewski:
Investigation of Alternative Measures for Mutual Information. - Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction. - Yifan Hou, Guoji Fu, Mrinmaya Sachan:
Understanding Knowledge Integration in Language Models with Graph Convolutions. - Hai Dang, Lukas Mecke, Daniel Buschek:
GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information. - Hongyang Du, Dusit Niyato, Yuan-Ai Xie, Yanyu Cheng, Jiawen Kang, Dong In Kim:
Performance Analysis and Optimization for Jammer-Aided Multi-Antenna UAV Covert Communication. - Vali Tawosi, Afnan A. Al-Subaihin, Rebecca Moussa, Federica Sarro:
A Versatile Dataset of Agile Open Source Software Projects. - Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer, Sashank J. Reddi, Sanjiv Kumar:
Robust Training of Neural Networks using Scale Invariant Architectures. - Mehrasa Ahmadipour, Michèle A. Wigger, Mari Kobayashi:
Coding for Sensing: An Improved Scheme for Integrated Sensing and Communication over MACs. - Mostafa M. Mohamed, Björn W. Schuller:
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems. - Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin, Elnur Gasanov, Zhize Li, Eduard Gorbunov:
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation. - Prateek Gupta, Young-Rong Kim, Sverre Steen, Adil Rasheed:
Data Processing Framework for Ship Performance Analysis. - Luca Morando, Carmine Tommaso Recchiuto, Jacopo Calla, Paolo Scuteri, Antonio Sgorbissa:
Thermal and Visual Tracking of Photovoltaic Plants for Autonomous UAV inspection. - Rouaa Diab, Aravindh Krishnamoorthy, Robert Schober:
Precoding and Decoding Schemes for Downlink MIMO-RSMA with Simultaneous Diagonalization and User Exclusion. - Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar:
Auto-Transfer: Learning to Route Transferrable Representations. - Ibe Chukwuemeka Emmanuel, Ekaterina Mitrofanova:
Fairness of Machine Learning Algorithms in Demography. - Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya:
Multi-Task Learning as a Bargaining Game. - Michael Schröder, Jürgen Cito:
Grammars for Free: Toward Grammar Inference for Ad Hoc Parsers. - Tom Krüger, Jan-Hendrik Lorenz, Florian Wörz:
Too much information: CDCL solvers need to forget and perform restarts. - Cise Midoglu, Steven Alexander Hicks, Vajira Thambawita, Tomas Kupka, Pål Halvorsen:
MMSys'22 Grand Challenge on AI-based Video Production for Soccer. - Michele Polese, Leonardo Bonati, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia:
Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges. - Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? - Francesco Casillo, Vincenzo Deufemia, Carmine Gravino:
Detecting Privacy Requirements from User Stories with NLP Transfer Learning Models. - Sara Oliveira Santos, Francisco Cuenca-Jiménez, P. Antonio Gomez-Valdez, Oscar Morales-Lopez, Monica M. Wilhelmus:
RoboKrill : a metachronal drag-based swimmer robot. - Jiebei Liu, Peter Morris, Krista Nelson, Mehdi Boukhechba:
Using Ballistocardiography for Sleep Stage Classification. - Marjorie McShane, Jesse English, Sergei Nirenburg:
Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Acts. - Paolo Boldi, Flavio Furia, Sebastiano Vigna:
Spectral Rank Monotonicity on Undirected Networks. - Junxian Wang, Wesley P. Chan, Pamela Carreno-Medrano, Akansel Cosgun, Elizabeth A. Croft:
Metrics for Evaluating Social Conformity of Crowd Navigation Algorithms. - Kevin Haninger, Marcel Radke, Axel Vick, Jörg Krüger:
Towards High-Payload Admittance Control for Manual Guidance with Environmental Contact. - Umberto Zerbinati:
PINNs and GaLS: An Priori Error Estimates for Shallow Physically Informed Neural Network Applied to Elliptic Problems. - Marco Rosano, Antonino Furnari, Luigi Gulino, Corrado Santoro, Giovanni Maria Farinella:
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation. - Ashish Ramayee Asokan, Nidarshan Kumar, Anirudh Venkata Ragam, Shylaja S. Sharath:
Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors. - Akihiro Maehigashi, Takahiro Tsumura, Seiji Yamada:
Comparison of human trust in an AI system, a human, and a social robot as a task partner. - Gurunath Reddy M, K. Sreenivasa Rao, Partha Pratim Das:
Melody Extraction from Polyphonic Music by Deep Learning Approaches: A Review. - Farrukh Shehzad, Yousaf Habib, Michael Kraus, Zareen Akhtar:
Control of Parasitism in Variational Integrators for Degenerate Lagrangian Systems. - Robert Hu, Dino Sejdinovic, Joan Alexis Glaunès:
Giga-scale Kernel Matrix Vector Multiplication on GPU. - Chuanhao Li, Hongning Wang:
Communication Efficient Federated Learning for Generalized Linear Bandits. - David Klaska, Antonín Kucera, Vít Musil, Vojtech Rehák:
Minimizing Expected Intrusion Detection Time in Adversarial Patrolling. - Alexander Pugantsov, Richard McCreadie:
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions. - Ruixin Yang, Shuai Ma, Zihan Xu, Hang Li, Xiaodong Liu, Xintong Ling, Xiong Deng, Xun Zhang, Shiyin Li:
Spectral and Energy Efficiency of DCO-OFDM in Visible Light Communication Systems with Finite-Alphabet Inputs. - Thomas Izgin, Stefan Kopecz, Andreas Meister:
On Lyapunov Stability of Positive and Conservative Time Integrators and Application to Second Order Modified Patankar-Runge-Kutta Schemes. - Brian Karrer, Daniel Kifer, Arjun Wilkins, Danfeng Zhang:
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism. - Xiangyu Mao, Jianping He, Chengcheng Zhao:
System Identification with Variance Minimization via Input Design. - Cristiano Bocci, Chiara Capresi, Kitty Meeks, John Sylvester:
A New Temporal Interpretation of Cluster Editing. - Kayode Olaleye, Dan Oneata, Herman Kamper:
Keyword localisation in untranscribed speech using visually grounded speech models. - Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik:
Learning to reason about and to act on physical cascading events. - Huayang Li, Yixuan Su, Deng Cai, Yan Wang, Lemao Liu:
A Survey on Retrieval-Augmented Text Generation. - Han Wu, Hamdi Joudeh:
On Joint Communication and Channel Discrimination. - Saeed Boorboor, Shawn Mathew, Mala Ananth, David Talmage, Lorna W. Role, Arie E. Kaufman:
NeuRegenerate: A Framework for Visualizing Neurodegeneration. - Hanbin Hong, Yuan Hong, Yu Kong:
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients. - Paul McVay, Tie Liu, Krishna Narayanan:
On Linear Separability under Linear Compression with Applications to Hard Support Vector Machine. - Seyed Mehdi Meshkani, Bilal Farooq:
Decentralized Matching in Shared Intelligent Vehicles Fleet. - Laura Giordano, Daniele Theseider Dupré:
An ASP approach for reasoning on neural networks under a finitely many-valued semantics for weighted conditional knowledge bases. - Markus J. Hofmann, Steffen Remus, Chris Biemann, Ralph Radach, Lars Kuchinke:
Language Models Explain Word Reading Times Better Than Empirical Predictability. - Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu:
Structure-preserving GANs. - Mohammed Ayman Shalaby, Charles Champagne Cossette, Jerome Le Ny, James Richard Forbes:
Ultra-Wideband Teach and Repeat. - Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani:
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. - Randi Wang, Morad Behandish:
Surrogate Modeling for Physical Systems with Preserved Properties and Adjustable Tradeoffs. - Seongin Na, Tomás Krajník, Barry Lennox, Farshad Arvin:
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms. - Hammond Pearce, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt:
Pop Quiz! Can a Large Language Model Help With Reverse Engineering? - Penny Haxell, Tibor Szabó:
Improved Integrality Gap in Max-Min Allocation: or Topology at the North Pole. - Sachin Maheshwari, Alexander Serb, Christos Papavassiliou, Themistoklis Prodromakis:
An Adiabatic Capacitive Artificial Neuron with RRAM-based Threshold Detection for Energy-Efficient Neuromorphic Computing. - Rickard Brüel Gabrielsson, Chris Scarvelis:
Relative Position Prediction as Pre-training for Text Encoders. - Lequn Wang, Thorsten Joachims, Manuel Gomez Rodriguez:
Improving Screening Processes via Calibrated Subset Selection. - Karthikeyan Natesan Ramamurthy, Amit Dhurandhar, Dennis Wei, Zaid Bin Tariq:
Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners. - Jana Götze, Maike Paetzel-Prüsmann, Wencke Liermann, Tim Diekmann, David Schlangen:
The slurk Interaction Server Framework: Better Data for Better Dialog Models. - Samrat Dutta, Shreyansh Jain, Ayush Maheshwari, Ganesh Ramakrishnan, Preethi Jyothi:
Error Correction in ASR using Sequence-to-Sequence Models. - Menglu Yu, Ye Tian, Bo Ji, Chuan Wu, Hridesh Rajan, Jia Liu:
GADGET: Online Resource Optimization for Scheduling Ring-All-Reduce Learning Jobs. - Raviraj Joshi:
L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resources. - Olivier van der Toorn, Raffaele Sommese, Anna Sperotto, Roland van Rijswijk-Deij, Mattijs Jonker:
Saving Brian's Privacy: the Perils of Privacy Exposure through Reverse DNS. - Aidan Clark, Diego de Las Casas, Aurelia Guy, Arthur Mensch, Michela Paganini, Jordan Hoffmann, Bogdan Damoc, Blake A. Hechtman, Trevor Cai, Sebastian Borgeaud, George van den Driessche, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Katie Millican, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan:
Unified Scaling Laws for Routed Language Models. - Yvonne Alama Bronsard, Yvain Bruned, Katharina Schratz:
Low regularity integrators via decorated trees. - Sanja Scepanovic, Luca Maria Aiello, Deirdre Barrett, Daniele Quercia:
Epidemic Dreams: Dreaming about health during the COVID-19 pandemic. - Domenico Lembo, Alessandra Limosani, Francesca Medda, Alessandra Monaco, Federico Maria Scafoglieri:
Information Extraction through AI techniques: The KIDs use case at CONSOB. - Muhammad Usman, Youcheng Sun, Divya Gopinath, Corina S. Pasareanu:
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks. - Pau de Jorge, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania:
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. - Adrienne Tuynman, Ronald Ortner:
Transfer in Reinforcement Learning via Regret Bounds for Learning Agents. - Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets:
Smoothed Embeddings for Certified Few-Shot Learning. - Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li:
VOS: Learning What You Don't Know by Virtual Outlier Synthesis. - Greta Malaspina, Stevo Rackovic, Filipa Valdeira:
A Hybrid Compartmental Model with a Case Study of COVID-19 in Great Britain and Israel. - Xinyu Chen, Ian Beaver:
A Flexible Clustering Pipeline for Mining Text Intentions. - Ibrahim Cinaroglu, Yalin Bastanlar:
Training Semantic Descriptors for Image-Based Localization. - Weiming Xiang, Zhongzhu Shao:
Approximate Bisimulation Relations for Neural Networks and Application to Assured Neural Network Compression. - Pranav Madadi, Jeongho Jeon, Joonyoung Cho, Caleb Lo, Juho Lee, Jianzhong Zhang:
PolarDenseNet: A Deep Learning Model for CSI Feedback in MIMO Systems. - Meike Neuwohner:
Passing the Limits of Pure Local Search for the Maximum Weight Independent Set Problem in d-Claw Free Graphs. - Itai Gat, Hagai Aronowitz, Weizhong Zhu, Edmilson da Silva Morais, Ron Hoory:
Speaker Normalization for Self-supervised Speech Emotion Recognition. - Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo:
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. - Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully:
Accelerated Quality-Diversity for Robotics through Massive Parallelism. - Erixhen Sula, Michael Gastpar:
Shannon Bounds on Lossy Gray-Wyner Networks. - Matthew Feldman, Tian Zhao, Kunle Olukotun:
Efficient Memory Partitioning in Software Defined Hardware. - Hüsnü Ata Erbay, Saadet Erbay, Albert Erkip:
A semi-discrete numerical scheme for nonlocally regularized KdV-type equations. - N. Benjamin Erichson, Soon Hoe Lim, Francisco Utrera, Winnie Xu, Ziang Cao, Michael W. Mahoney:
NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. - Aaron Allred, Lauren J. Abbott, Alireza Doostan, Kurt Maute:
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles. - Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra:
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. - Alexander Tyurin, Peter Richtárik:
DASHA: Distributed Nonconvex Optimization with Communication Compression, Optimal Oracle Complexity, and No Client Synchronization. - Banghua Zhu, Jiantao Jiao, Michael I. Jordan:
Robust Estimation for Nonparametric Families via Generative Adversarial Networks. - Zhaowei Zhu, Jialu Wang, Yang Liu:
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. - Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen:
Topological Classification in a Wasserstein Distance Based Vector Space. - Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. - David Johnson, Mohammad Alsharid, Rasheed El-Bouri, Nigel Mehdi, Farah Shamout, Alexandre Szenicer, David Toman, Saqr Binghalib:
An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates. - Wenzel Jakob, Sébastien Speierer, Nicolas Roussel, Delio Vicini:
Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering. - Aparna Khare, Eunjung Han, Yuguang Yang, Andreas Stolcke:
ASR-Aware End-to-end Neural Diarization. - Filip Tronarp, Nathanael Bosch, Philipp Hennig:
Fenrir: Physics-Enhanced Regression for Initial Value Problems. - Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani:
Imitation Learning by Estimating Expertise of Demonstrators. - Peter Fettke, Wolfgang Reisig:
Systems Mining with Heraklit: The Next Step. - Suraj Srinivas, Andrey Kuzmin, Markus Nagel, Mart van Baalen, Andrii Skliar, Tijmen Blankevoort:
Cyclical Pruning for Sparse Neural Networks. - Vladislav Dorofeev, Petro Trokhimchuk:
Computer sciences and synthesis: retrospective and perspective. - Dung Daniel T. Ngo, Giuseppe Vietri, Zhiwei Steven Wu:
Improved Regret for Differentially Private Exploration in Linear MDP. - Joshua Ani, Josh Brunner, Erik D. Demaine, Martin L. Demaine, Dylan H. Hendrickson, Victor Luo, Rachana Madhukara:
Orthogonal Fold & Cut. - Rajai Nasser, Ibrahim Issa, Ibrahim C. Abou-Faycal:
Age Distribution in Arbitrary Preemptive Memoryless Networks. - Yinbin Ma, Daniela Tuninetti:
On Coded Caching Systems with Offline Users. - Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing:
Causal Inference Through the Structural Causal Marginal Problem. - Fatima Zahrah, Jason R. C. Nurse, Michael Goldsmith:
A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election. - Youjie Li, Amar Phanishayee, Derek Murray, Jakub Tarnawski, Nam Sung Kim:
Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers. - Bahar Uddin Mahmud, Afsana Sharmin:
Impact Analysis of Harassment Against Women Using Association Rule Mining Approaches: Bangladesh Prospective. - Hanieh Shabanian, Madhusudhanan Balasubramanian:
Multi-Resolution Factor Graph Based Stereo Correspondence Algorithm. - Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Causal Imitation Learning under Temporally Correlated Noise. - Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin:
Approximating Full Conformal Prediction at Scale via Influence Functions. - Seth Frey, Qiankun Zhong, Beril Bulat, William D. Weisman, Caitlyn Liu, Stephen Fujimoto, Hannah M. Wang, Charles M. Schweik:
Governing online goods: Maturity and formalization in Minecraft, Reddit, and World of Warcraft communities. - Stylianos Serghiou, Kathryn Rough:
Deep Learning for Epidemiologists: An Introduction to Neural Networks. - Rahul Yedida, Tim Menzies:
How to Improve Deep Learning for Software Analytics (a case study with code smell detection). - Yuyan Li, Zhixin Yan, Ye Duan, Liu Ren:
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation. - William Cai, Ro Encarnacion, Bobbie Chern, Sam Corbett-Davies, Miranda Bogen, Stevie Bergman, Sharad Goel:
Adaptive Sampling Strategies to Construct Equitable Training Datasets. - Aaron Mishkin, Arda Sahiner, Mert Pilanci:
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions. - Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina:
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection. - Dianbo Liu, Alex Lamb, Xu Ji, Pascal Notsawo, Michael Mozer, Yoshua Bengio, Kenji Kawaguchi:
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization. - Calvin S. Bao, Siyao Li, Sarah G. Flores, Michael Correll, Leilani Battle:
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health. - Yifan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, Eric P. Xing:
Can Transformers be Strong Treatment Effect Estimators? - Farhad Maleki, Katie L. Ovens, Rajiv Gupta, Caroline Reinhold, Alan Spatz, Reza Forghani:
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls. - Jannis Born, Matteo Manica:
Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens. - Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. - Anthony Ortiz, Dhaval Negandhi, Sagar R. Mysorekar, Joseph Kiesecker, Shivaprakash K. Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan Lavista Ferres:
An Artificial Intelligence Dataset for Solar Energy Locations in India. - Chen Liu, Ziqi Zhao, Sabine Süsstrunk, Mathieu Salzmann:
Robust Binary Models by Pruning Randomly-initialized Networks. - Stanislas Polu, Jesse Michael Han, Kunhao Zheng, Mantas Baksys, Igor Babuschkin, Ilya Sutskever:
Formal Mathematics Statement Curriculum Learning. - Salma Elmalaki, Bo-Jhang Ho, Moustafa Alzantot, Yasser Shoukry, Mani B. Srivastava:
VindiCo: Privacy Safeguard Against Adaptation Based Spyware in Human-in-the-Loop IoT. - Ben Green:
Technology Ethics in Action: Critical and Interdisciplinary Perspectives. - Suyash Gupta, Sajjad Rahnama, Shubham Pandey, Natacha Crooks, Mohammad Sadoghi:
Dissecting BFT Consensus: In Trusted Components we Trust! - Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Direct Molecular Conformation Generation. - Jesse Jiang, Ye Zhao, Samuel Coogan:
Safe Learning for Uncertainty-Aware Planning via Interval MDP Abstraction. - Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron C. Courville, Yoshua Bengio:
Generative Flow Networks for Discrete Probabilistic Modeling. - Chao Wang, Ranbir Singh Batth, Peiying Zhang, Gagangeet Singh Aujla, Youxiang Duan, Lihua Ren:
VNE Solution for Network Differentiated QoS and Security Requirements: From the Perspective of Deep Reinforcement Learning. - Jingyi Xie, Rui Yu, Sooyeon Lee, Yao Lyu, Syed Masum Billah, John M. Carroll:
Feasibility of Interactive 3D Map for Remote Sighted Assistance. - Zubayer Islam, Mohamed A. Abdel-Aty:
Real-time Emergency Vehicle Event Detection Using Audio Data. - Ankur Bapna, Colin Cherry, Yu Zhang, Ye Jia, Melvin Johnson, Yong Cheng, Simran Khanuja, Jason Riesa, Alexis Conneau:
mSLAM: Massively multilingual joint pre-training for speech and text. - Peiying Zhang, Chao Wang, Chunxiao Jiang, Neeraj Kumar, Qinghua Lu:
Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm. - Peerasait Prachaseree, Emma Lejeune:
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks. - Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting. - Vasileios Vasilopoulos, Sebastian Castro, William Vega-Brown, Daniel E. Koditschek, Nicholas Roy:
Technical Report: A Hierarchical Deliberative-Reactive System Architecture for Task and Motion Planning in Partially Known Environments. - Joachim Gudmundsson, Martin P. Seybold, John Pfeifer:
Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language. - Zhen Dai, Yury Makarychev, Ali Vakilian:
Fair Representation Clustering with Several Protected Classes. - Louis Primeau, Amirali Amirsoleimani, Roman Genov:
SDEX: Monte Carlo Simulation of Stochastic Differential Equations on Memristor Crossbars. - Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation. - Jifan Zhang, Julian Katz-Samuels, Robert D. Nowak:
GALAXY: Graph-based Active Learning at the Extreme. - Wenzhen Zhu, Negin Sokhandan, Guang Yang, Sujitha Martin, Suchitra Sathyanarayana:
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts. - Rushan Ziatdinov, James R. Valles Jr:
Synthesis of Modeling, Visualization, and Programming in GeoGebra as an Effective Approach for Teaching and Learning STEM Topics. - Tianyu Wang, Baxi Chong, Yuelin Deng, Ruijie Fu, Howie Choset, Daniel I. Goldman:
Generalized Omega Turn Gait Enables Agile Limbless Robot Turning in Complex Environments. - Ryan Zelek, Hyeran Jeon:
Characterization of Semantic Segmentation Models on Mobile Platforms for Self-Navigation in Disaster-Struck Zones. - Rushan Ziatdinov, Juanee Cilliers:
Generation Alpha: Understanding the Next Cohort of University Students. - Ali Wadi, Shayok Mukhopadhyay, Lotfi Romdhane:
Identifying Friction in a Nonlinear Chaotic System Using a Universal Adaptive Stabilizer. - Musthofa, Indah Emilia Wijayanti, Diah Junia Eksi Palupi, Martianus Frederic Ezerman:
A New Approach to Determine the Minimal Polynomials of Binary Modified de Bruijn Sequences. - Baichuan Huang, Teng Guo, Abdeslam Boularias, Jingjin Yu:
Self-Supervised Monte Carlo Tree Search Learning for Object Retrieval in Clutter. - Xian Wei, See-Kiong Ng, Tongtong Zhang, Yingjie Liu:
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. - Valerijan G. Muftejev, Rushan Ziatdinov, Rifkat I. Nabiyev:
Multi-Criteria Assessment of Shape Quality in CAD Systems of the Future. - Hyung Jun Choi, Woocheol Choi, Youngwoo Koh:
For the splitting method of the nonlinear heat equation with initial datum in W^1, q. - Ziyue Piao, Gus Xia:
Sensing the Breath: A Multimodal Singing Tutoring Interface with Breath Guidance. - Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-latency Spiking Neural Networks. - Ziao Wang, Nadim Ghaddar, Lele Wang:
Noisy Sorting Capacity. - Victor Adewopo, Bilal Gonen, Nelly Elsayed, Murat Ozer, Zaghloul Saad ElSayed:
Deep Learning Algorithm for Threat Detection in Hackers Forum (Deep Web). - Nikhil Singh, Anupam Saxena:
Topology Optimization with Tetra-kai-decahedra and Spheroidal Masks. - Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh:
Deep Hierarchy in Bandits. - Hailong Qiu:
Error analysis of a fully discrete scheme for the Cahn-Hilliard-Magneto-hydrodynamics problem. - Xinye Chen, Stefan Güttel:
Fast and explainable clustering based on sorting. - Matjaz Depolli, Jure Slak, Gregor Kosec:
Parallel domain discretization algorithm for RBF-FD and other meshless numerical methods for solving PDEs. - Yoshihide Sawada, Keigo Nakamura:
Concept Bottleneck Model with Additional Unsupervised Concepts. - Dixant Mittal, Siddharth Aravindan, Wee Sun Lee:
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. - Rohan Sandeep Burye, Ravi Teja Arumalla, Sheron Figarado:
Investigation of Torque Ripple in Voltage Source Inverter driven Induction Motor Drive operated with Space Vector based Harmonic Elimination Pulse Width Modulation Scheme. - (Withdrawn) Boosting Monocular Depth Estimation with Sparse Guided Points.
- Leonardo Colombo, Manuela Gamonal Fernández, David Martín de Diego:
Variational integrators for non-autonomous systems with applications to stabilization of multi-agent formations. - Peiying Zhang, Xue Pang, Yongjing Ni, Haipeng Yao, Xin Li:
A multi-domain virtual network embedding algorithm with delay prediction. - Mohammad Javad Ahmadi, Tolga M. Duman:
Unsourced Random Access with a Massive MIMO Receiver Using Multiple Stages of Orthogonal Pilots. - Pu Zhang, Lei Bai, Jianru Xue, Jianwu Fang, Nanning Zheng, Wanli Ouyang:
Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding. - Guanxiong Luo, Martin Heide, Martin Uecker:
MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation. - Kranthi Panuganti, Rohan Sandeep Burye, Sheron Figarado:
Variable Slope Trapezoidal Circulating Current Injection to Attenuate Capacitor Voltage Ripple in Modular Multilevel Converter Based Variable Speed Motor Drives Application. - Yunlu Xiao, Petri Mähönen, Ljiljana Simic:
Mobility Performance Analysis of Scalable Cell-Free Massive MIMO. - Arda Atalik, Alper Köse, Michael Gastpar:
The Price of Distributed: Rate Loss in the CEO Problem. - Sherlock A. Licorish, Markus Wagner:
On the Utility of Marrying GIN and PMD for Improving Stack Overflow Code Snippets. - Jeffrey A. Delmerico, Roi Poranne, Federica Bogo, Helen Oleynikova, Eric Vollenweider, Stelian Coros, Juan I. Nieto, Marc Pollefeys:
Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together. - Francesc Wilhelmi, Sergio Barrachina-Muñoz, Paolo Dini:
End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications. - Nurullah Demir, Daniel Theis, Tobias Urban, Norbert Pohlmann:
Towards Understanding First-Party Cookie Tracking in the Field. - Barbara Wirthl, Sebastian Brandstaeter, Jonas Nitzler, Bernhard A. Schrefler, Wolfgang A. Wall:
Global sensitivity analysis based on Gaussian-process metamodelling for complex biomechanical problems. - Mandana Kariminejad, David Tormey, Saif Huq, Jim Morrison, Marion McAfee:
Comparison of Intelligent Approaches for Cycle Time Prediction in Injection Moulding of a Medical Device Product. - Kathrin Garb, Marvin Xhemrishi, Ludwig Kürzinger, Christoph Frisch:
The Wiretap Channel for Capacitive PUF-Based Security Enclosures. - Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli:
Challenging Common Assumptions in Convex Reinforcement Learning. - Zonghang Li, Yihong He, Hongfang Yu, Jiawen Kang, Xiaoping Li, Zenglin Xu, Dusit Niyato:
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT. - Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang, Giuseppe Caire:
Channel State Acquisition in FDD Massive MIMO: Rate-Distortion Bound and Effectiveness of "Analog" Feedback. - Elgun Jabrayilzade, Mikhail Evtikhiev, Eray Tüzün, Vladimir Kovalenko:
Bus Factor In Practice. - Yifu Tang, Jianxin Li, Nur Al Hasan Haldar, Ziyu Guan, Jiajie Xu, Chengfei Liu:
Reliable Community Search in Dynamic Networks. - Ibrahim Abdul Majeed, Sagar Kaushik, Aniruddha Bardhan, Venkata Siva Kumar Tadi, Hwang-Ki Min, Karthikeyan Kumaraguru, Rajasekhara Duvvuru Muni:
Comparative assessment of federated and centralized machine learning. - Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek:
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems. - Mahdi Saleh, Shun-Cheng Wu, Luca Cosmo, Nassir Navab, Benjamin Busam, Federico Tombari:
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. - Fernando Casas, Sergio Blanes, Alejandro Escorihuela-Tomàs:
Runge-Kutta-Nyström symplectic splitting methods of order 8. - Alexandros Gazis, Konstantinos Stamatis, Eleftheria Katsiri:
A Method for Counting, Tracking and Monitoring of Visitors with RFID sensors. - Masumi Arafune, Sidharth Rajalakshmi, Luigi Jaldon, Zahra Jadidi, Shantanu Pal, Ernest Foo, Nagarajan Venkatachalam:
Design and Development of Automated Threat Hunting in Industrial Control Systems. - Lie He, Sai Praneeth Karimireddy, Martin Jaggi:
Byzantine-Robust Decentralized Learning via Self-Centered Clipping. - Giorgos Alexiou, George Papastefanatos, Vassilis Stamatopoulos, Georgia Koutrika, Nectarios Koziris:
QueryER: A Framework for Fast Analysis-Aware Deduplication over Dirty Data. - Matteo Cordioli:
Multi-Objective Optimization, different approach to query a database. - Yang Xu, Haibin Kan, Guangyue Han:
Minimal Length of Nontrivial Solutions of the Isometry Equation and MacWilliams Extension Property with Respect to Weighted Poset Metric. - Sophie M. Moufawad, Nabil R. Nassif:
Newton Type Methods for solving a Hasegawa-Mima Plasma Model. - Jongyul Lee, Vasilis Friderikos:
Robotic Aerial 6G Small Cells with Grasping End Effectors for mmWave Relay Backhauling. - Marcel Matha, Christian Morsbach:
Extending turbulence model uncertainty quantification using machine learning. - Shahar Stein Ioushua, Ofer Shayevitz:
On the Number of Graphs with a Given Histogram. - Leszek Gasieniec, Ralf Klasing, Christos Levcopoulos, Andrzej Lingas, Jie Min, Tomasz Radzik:
Perpetual maintenance of machines with different urgency requirements. - Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi:
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. - Mária Lukácová-Medvid'ová, Gabriella Puppo, Andrea Thomann:
An all Mach number finite volume method for isentropic two-phase flow. - Volker Turau:
Fixed Points and 2-Cycles of Synchronous Dynamic Coloring Processes on Trees. - Mo Liu, Anantha Padmanabha, Ramaswamy Ramanujam, Yanjing Wang:
Are Bundles Good Deals for FOML? - Chunxiao Cao, Zili An, Zhong Ren, Dinesh Manocha, Kun Zhou:
A Psychoacoustic Quality Criterion for Path-Traced Sound Propagation. - Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin:
MiDaS: Representative Sampling from Real-world Hypergraphs. - Stavros Konstantinidis, Mitja Mastnak, Nelma Moreira, Rogério Reis:
Approximate NFA Universality and Related Problems Motivated by Information Theory. - Yue Wang, Tao Yu, Kei Sakaguchi:
Context-Based MEC Platform for Augmented-Reality Services in 5G Networks. - Mirjana Brdar, Sebastian Franz, Lars Ludwig, Hans-Görg Roos:
A time dependent singularly perturbed problem with shift in space. - Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, Himabindu Lakkaraju:
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective. - Emmanouil Samanis, Joseph Gardiner, Awais Rashid:
A Taxonomy for Contrasting Industrial Control Systems Asset Discovery Tools. - Martin J. A. Schuetz, John Kyle Brubaker, Zhihuai Zhu, Helmut G. Katzgraber:
Graph Coloring with Physics-Inspired Graph Neural Networks. - Priyanka Billawa, Anusha Bambhore Tukaram, Nicolás E. Díaz Ferreyra, Jan-Philipp Steghöfer, Riccardo Scandariato, Georg Simhandl:
Security of Microservice Applications: A Practitioners' Perspective on Challenges and Best Practices. - Shuaishuai Ye, Peiyao Wang, Shunfei Chen, Xinhui Hu, Xinkang Xu:
The RoyalFlush System of Speech Recognition for M2MeT Challenge. - Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury:
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics. - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres. - Eleonora Denich, Paolo Novati:
A Gaussian method for the operator square root. - Tianchi Liu, Rohan Kumar Das, Kong Aik Lee, Haizhou Li:
MFA: TDNN with Multi-scale Frequency-channel Attention for Text-independent Speaker Verification with Short Utterances. - Felix Biggs, Benjamin Guedj:
Non-Vacuous Generalisation Bounds for Shallow Neural Networks. - Ander Vallinas Prieto, Arvid Q. L. Keemink, Edwin H. F. van Asseldonk, Herman van der Kooij:
Feasible Wrench Set Computation for Legged Robots. - Anne Baanen:
Use and abuse of instance parameters in the Lean mathematical library. - Rynhardt Kruger, Febe de Wet, Thomas Niesler:
Mathematical Content Browsing for Print-Disabled Readers Based on Virtual-World Exploration and Audio-Visual Sensory substitution. - Masarah Paquet-Clouston, Serge-Olivier Paquette, Sebastián García, María José Erquiaga:
Entanglement: Cybercrime Connections of an Internet Marketing Forum Population. - Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu:
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. - Jiawen Huang, Emmanouil Benetos, Sebastian Ewert:
Improving Lyrics Alignment through Joint Pitch Detection. - Alexander Viand, Patrick Jattke, Miro Haller, Anwar Hithnawi:
HECO: Automatic Code Optimizations for Efficient Fully Homomorphic Encryption. - Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney:
A Survey of Methods for Automated Algorithm Configuration. - Rachid Riad, Olivier Teboul, David Grangier, Neil Zeghidour:
Learning strides in convolutional neural networks. - Parisa Ataeian, Abbas Rabiee, Mehdi Derafshian Maram, Mohsen Ghalei Monfared Zanjani:
Enhancement of power grid monitoring based on data weighting. - Evangelos Markakis, Georgios Papasotiropoulos:
Computational Aspects of Conditional Minisum Approval Voting in Elections with Interdependent Issues. - Anay Mehrotra, Bary S. R. Pradelski, Nisheeth K. Vishnoi:
Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints. - Cyril Grelier, Olivier Goudet, Jin-Kao Hao:
On Monte Carlo Tree Search for Weighted Vertex Coloring. - Guojun Zhang, Saber Malekmohammadi, Xi Chen, Yaoliang Yu:
Equality Is Not Equity: Proportional Fairness in Federated Learning. - Filipa Valdeira, Cláudia Soares:
Ranking with Confidence for Large Scale Comparison Data. - Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub:
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification. - Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner:
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System. - Jessica A. Enright, Martin Pergel:
Recognising the overlap graphs of subtrees of restricted trees is hard. - Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang:
Certifying Out-of-Domain Generalization for Blackbox Functions. - Luisa D'Amore, Rosalba Cacciapuoti, A. Moore:
Domain Decomposition in space-time of 4D-VAR Data Assimilation problem: a case study on the ROMS software. - Tomasz Bochacik:
On the properties of the exceptional set for the randomized Euler and Runge-Kutta schemes. - Raffay Yaqoob:
A Recent Survey of Event Triggered Control of Nonlinear Systems. - Wafeeq Iqbal, Wei Wang, Ting Zhu:
Machine Learning and Artificial Intelligence in Next-Generation Wireless Network. - Tong Mu, Stephan Zheng, Alexander Trott:
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal. - Asifa Yousaf:
Review on the stabilization of non linear systems achieved by output feedback control technique. - Luhuan Wu, Geoff Pleiss, John P. Cunningham:
Variational Nearest Neighbor Gaussian Processes. - Leila Ismail, Huned Materwala, Hossam S. Hassanein:
QoS-SLA-Aware Artificial Intelligence Adaptive Genetic Algorithm for Multi-Request Offloading in Integrated Edge-Cloud Computing System for the Internet of Vehicles. - Szu-Yu (Cyn) Liu, Brian A. Smith, Rajan Vaish, Andrés Monroy-Hernández:
Understanding the Role of Context in Creating Enjoyable Co-Located Interactions. - Xueyu Hou, Yongjie Guan, Tao Han, Ning Zhang:
DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices. - Truong (Jack) P. Luu, Rosangela Follmann:
The relationship between sentiment score and COVID-19 cases in the United States. - Pinelopi Papalampidi, Kris Cao, Tomás Kociský:
Towards Coherent and Consistent Use of Entities in Narrative Generation. - Mingyuan Yang, John T. Foster:
Multi-Output Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Uncertainties. - Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto:
Algorithmic Fairness Datasets: the Story so Far. - Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut:
Review of automated time series forecasting pipelines. - Madonna Mayez, Khaled Nagaty, Abeer Hamdy:
Developer Load Normalization Using Iterative Kuhn-Munkres Algorithm: An Optimization Triaging Approach. - Niclas Boehmer, Robert Bredereck, Klaus Heeger, Dusan Knop, Junjie Luo:
Multivariate Algorithmics for Eliminating Envy by Donating Goods. - Robert Masse, Dan Ulery, Hardik Kamdar:
A User-Friendly Environment for Battery Data Science. - Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob:
MV-Datalog+-: Effective Rule-based Reasoning with Uncertain Observations. - Bobby Yan, Skyler Seto, Nicholas Apostoloff:
FORML: Learning to Reweight Data for Fairness. - Aaron David Tucker, Thorsten Joachims:
Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits. - Serhat Bakirtas, Elza Erkip:
Seeded Database Matching Under Noisy Column Repetitions. - Thibault de Surrel, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse, Frédéric Chazal:
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds. - Benjamin Filtjens, Bart Vanrumste, Peter Slaets:
Skeleton-Based Action Segmentation with Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks. - Eliran Sherzer, Arik Senderovich, Opher Baron, Dmitry Krass:
Can machines solve general queueing systems? - Serhat Bakirtas, Elza Erkip:
Database Matching Under Column Repetitions. - Jack Sturgess, Simon Eberz, Ivo Sluganovic, Ivan Martinovic:
WatchAuth: User Authentication and Intent Recognition in Mobile Payments using a Smartwatch. - Alexander Raake, Markus Fiedler, Katrin Schoenenberg, Katrien De Moor, Nicola Döring:
Technological Factors Influencing Videoconferencing and Zoom Fatigue. - Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Chelsea Finn, Sergey Levine:
How to Leverage Unlabeled Data in Offline Reinforcement Learning. - Ben Cameron, Aaron Grubb, Joe Sawada:
Pivot Gray Codes for the Spanning Trees of a Graph ft. the Fan. - Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne van Noord, Giorgos Tolias:
The Met Dataset: Instance-level Recognition for Artworks. - Martin Lefebvre, David Bol:
A Family of Current References Based on 2T Voltage References: Demonstration in 0.18-μm with 0.1-nA PTAT and 1.1-μA CWT 38-ppm/°C Designs. - Yu Bai, Chi Jin, Song Mei, Tiancheng Yu:
Near-Optimal Learning of Extensive-Form Games with Imperfect Information. - Ioannis Sakiotis, Kamesh Arumugam, Marc F. Paterno, Desh Ranjan, Balsa Terzic, Mohammad Zubair:
m-CUBES An efficient and portable implementation of multi-dimensional integration for gpus. - Bengt J. Nilsson, Christiane Schmidt:
k-Transmitter Watchman Routes. - Ali Alshaarawy, Amirali Amirsoleimani, Roman Genov:
PRUNIX: Non-Ideality Aware Convolutional Neural Network Pruning for Memristive Accelerators. - Antti Kuusisto:
On expressive rule-based logics. - M. Giselle Fernández-Godino, Donald D. Lucas, Qingkai Kong:
Learning Physics through Images: An Application to Wind-Driven Spatial Patterns. - ByungHoon So, Kyuhong Byun, Kyungwon Kang, Seongjin Cho:
JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension. - Hamed Fayyaz, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti:
Who will Leave a Pediatric Weight Management Program and When? - A machine learning approach for predicting attrition patterns. - Jürgen Giesl, Nils Lommen, Marcel Hark, Fabian Meyer:
Improving Automatic Complexity Analysis of Integer Programs. - Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu:
Pre-Trained Language Models for Interactive Decision-Making. - Henry Akwetey Matey, Paul Danquah, Godfred Yaw Koi-Akrofi:
Predicting Cyber-Attack using Cyber Situational Awareness: The Case of Independent Power Producers (IPPs). - Edo Liberty:
Even Simpler Deterministic Matrix Sketching. - Cristina Bustos, Daniel Rhoads, Àgata Lapedriza, Javier Borge-Holthoefer, Albert Solé-Ribalta:
Predicting the impact of urban change in pedestrian and road safety. - Wo Jae Lee, Karim Helwani, Arvindh Krishnaswamy, Srikanth V. Tenneti:
Robust Audio Anomaly Detection. - Mamdouh Alenezi:
Understanding Digital Government Transformation. - Tingting Liu, Salvatore Giorgi, Xiangyu Tao, Douglas Bellew, Brenda Curtis, Lyle H. Ungar:
Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis. - Bo Jiang, Mohamed Seif, Ravi Tandon, Ming Li:
Answering Count Queries for Genomic Data with Perfect Privacy. - Ashay Aswale, Antonio López, Aukkawut Ammartayakun, Carlo Pinciroli:
Hacking the Colony: On the Disruptive Effect of Misleading Pheromone and How to Defend Against It. - Raphael Sulzer, Loïc Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet:
Deep Surface Reconstruction from Point Clouds with Visibility Information. - Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal:
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. - Andrea Vallone, Frederik Warburg, Hans Hansen, Søren Hauberg, Javier Civera:
Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization. - Liliana Borcea, Josselin Garnier, Alexander V. Mamonov, Jörn T. Zimmerling:
Waveform inversion via reduced order modeling. - Yabin Xu, Liangliang Nan, Laishui Zhou, Jun Wang, Charlie C. L. Wang:
HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicits. - Peter Fettke, Wolfgang Reisig:
Modularization, Composition, and Hierarchization of Petri Nets with Heraklit. - Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li:
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. - Amirkeivan Mohtashami, Sebastian U. Stich, Martin Jaggi:
Characterizing & Finding Good Data Orderings for Fast Convergence of Sequential Gradient Methods. - Kiri L. Wagstaff, Thomas G. Dietterich:
Hidden Heterogeneity: When to Choose Similarity-Based Calibration. - Federico M. Zegers, Runhan Sun, Girish Chowdhary, Warren E. Dixon:
Distributed State Estimation with Deep Neural Networks for Uncertain Nonlinear Systems under Event-Triggered Communication. - Richard N. Draper:
The Swapped Dragonfly. - Itai Arieli, Yakov Babichenko:
A Population's Feasible Posterior Beliefs. - Andreas Kirsch, Yarin Gal:
A Note on "Assessing Generalization of SGD via Disagreement". - Chung-Cheng Chiu, James Qin, Yu Zhang, Jiahui Yu, Yonghui Wu:
Self-supervised Learning with Random-projection Quantizer for Speech Recognition. - Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang:
Practical Imitation Learning in the Real World via Task Consistency Loss. - Yamac Alican Isik, Connor Davis, Paidamoyo Chapfuwa, Ricardo Henao:
Flexible Triggering Kernels for Hawkes Process Modeling. - Sami ul Haq, Saeed-Ul Hassan:
A Bibliometric Perspective of Social Science Scientific Communities of Pakistan and India. - Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh:
Rethinking Explainability as a Dialogue: A Practitioner's Perspective. - Yuhan Zhao, Baichuan Huang, Jingjin Yu, Quanyan Zhu:
Stackelberg Strategic Guidance for Heterogeneous Robots Collaboration. - Oliver Kosut, Michelle Effros, Michael Langberg:
On the Benefit of Cooperation in Relay Networks. - Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. - Jiong Wang, Zhanfeng Li, Zili Jin:
Theoretical scheme on shape-programming of thin hyperelastic plates through differential growth. - Julien Taurines, Boris Kolev, Rodrigue Desmorat, Olivier Hubert:
Reduced polynomial invariant integrity basis for in-plane magneto-mechanical loading. - Xiaohan Yu, Shaochen Mao:
Research on Patch Attentive Neural Process. - (Withdrawn) A Hybrid Physics Machine Learning Approach for Macroscopic Traffic State Estimation.
- Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari:
Generalizing to New Physical Systems via Context-Informed Dynamics Model. - Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren:
Advances in MetaDL: AAAI 2021 challenge and workshop. - Sijin Yeom, Jae-Hun Jung:
Weighted Random Cut Forest Algorithm for Anomaly Detections. - Sarra Ben Brahim, Hakim Ghazzai, Hichem Besbes, Yehia Massoud:
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification. - june wunder, Arthur Azevedo de Amorim, Patrick Baillot, Marco Gaboardi:
Bunched Fuzz: Sensitivity for Vector Metrics. - Vijay Srinivas Tida, Sonya H. Y. Hsu, Xiali Hei:
Unified Fake News Detection using Transfer Learning of Bidirectional Encoder Representation from Transformers model. - Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala:
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space. - Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner:
Ad-datasets: a meta-collection of data sets for autonomous driving. - Sergio Filho, Eduardo Sany Laber, Pedro Lazera, Marco Molinaro:
Time-Constrained Learning. - Raihan Seraj, Jivitesh Sharma, Ole-Christoffer Granmo:
Tsetlin Machine for Solving Contextual Bandit Problems. - Changcun Huang:
Theoretical Exploration of Solutions of Feedforward ReLU networks. - Lei Shu, Hu Xu, Bing Liu, Jiahua Chen:
Zero-Shot Aspect-Based Sentiment Analysis. - Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew B. Duncan:
F-EBM: Energy Based Learning of Functional Data. - Luyang Liu, David Racz, Kara Vaillancourt, Julie Michelman, Matt Barnes, Stefan Mellem, Paul Eastham, Bradley Green, Charles Armstrong, Rishi Bal, Shawn O'Banion, Feng Guo:
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services. - Liang Chen, Yang Li, Manyun Huang, Xinxin Hui, Songlin Gu:
Robust Dynamic State Estimator of Integrated Energy Systems based on Natural Gas Partial Differential Equations. - Ildar Rakhmatulin, Sebastian Volkl:
Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG. - Xinggang Hu, Yunzhou Zhang, Zhenzhong Cao, Rong Ma, Yanmin Wu, Zhiqiang Deng, Wenkai Sun:
CFP-SLAM: A Real-time Visual SLAM Based on Coarse-to-Fine Probability in Dynamic Environments. - Caio Davi, Ulisses M. Braga-Neto:
PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization. - Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh M. Susskind:
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. - Federico Mason, Matteo Drago, Tommaso Zugno, Marco Giordani, Mate Boban, Michele Zorzi:
A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario. - Yong Xiao, Yingyu Li, Guangming Shi, H. Vincent Poor:
Reasoning on the Air: An Implicit Semantic Communication Architecture. - Jingming Liang, Yong Xiao, Yingyu Li, Guangming Shi, Mehdi Bennis:
Life-long Learning for Reasoning-based Semantic Communication. - Namrata Nadagouda, Austin Xu, Mark A. Davenport:
Active metric learning and classification using similarity queries. - Bruce E. Hajek, Xiaohan Kang:
Maximum Likelihood Estimation of Optimal Receiver Operating Characteristic Curves from Likelihood Ratio Observations. - Wei Huang, Chunrui Liu, Yilan Chen, Tianyu Liu, Richard Yi Da Xu:
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning. - Jon McCormack, Camilo Cruz Gambardella:
Quality-diversity for aesthetic evolution. - Joseph Thaliath, Solmaz Niknam, Sukhdeep Singh, Rahul Banerji, Navrati Saxena, Harpreet S. Dhillon, Jeffrey H. Reed, Ali Kashif Bashir, Avinash Bhat, Abhishek Roy:
Predictive Closed-Loop Service Automation in O-RAN based Network Slicing. - Seyed Amir Tafrishi, Ankit A. Ravankar, Jose V. Salazar Luces, Yasuhisa Hirata:
A Novel Assistive Controller Based on Differential Geometry for Users of the Differential-Drive Wheeled Mobile Robots. - Yifeng Zheng, Shangqi Lai, Yi Liu, Xingliang Yuan, Xun Yi, Cong Wang:
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization. - Sung Hoon Lim, Jiyong Han, Wonjong Noh, Yujae Song, Sang-Woon Jeon:
Hybrid Neural Coded Modulation: Design and Training Methods. - Zhe Tang, Sihao Li, Kyeong Soo Kim, Jeremy S. Smith:
Multi-Output Gaussian Process-Based Data Augmentation for Multi-Building and Multi-Floor Indoor Localization. - (Withdrawn) Robust Vector Quantized-Variational Autoencoder.
- Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim:
Projection-based Point Convolution for Efficient Point Cloud Segmentation. - Chongyan Chen, Samreen Anjum, Danna Gurari:
Grounding Answers for Visual Questions Asked by Visually Impaired People. - Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Maxim Krikun, Colin Cherry, Behnam Neyshabur, Orhan Firat:
Data Scaling Laws in NMT: The Effect of Noise and Architecture. - Karen Leung, Marco Pavone:
Semi-Supervised Trajectory-Feedback Controller Synthesis for Signal Temporal Logic Specifications. - Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang:
Neural Dual Contouring. - Jan Sosulski, Michael Tangermann:
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces. - Wei Yin, Yifan Liu,