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CoRR, December 2021
- Gautham Venkatasubramanian:
cliquematch: Finding correspondence via cliques in large graphs. - Seyed Mousavi:
Towards algorithm-free physical equilibrium model of computing. - Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chanyoung Kim, Jinkyu Kim, Sangpil Kim:
Sound-Guided Semantic Image Manipulation. - Varun Chitturi, Zaid Nabulsi:
Predicting Poverty Level from Satellite Imagery using Deep Neural Networks. - Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré:
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. - Ouail Kitouni, Niklas Nolte, Mike Williams:
Robust and Provably Monotonic Networks. - Jordan S. K. Hu, Steven L. Waslander:
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. - Mostafa Haghi Kashani:
Task Assignment in Distributed Systems based on PSO Approach. - Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. - Seyyed Ali Hashemi, Marco Mondelli, John M. Cioffi, Andrea Goldsmith:
Successive Syndrome-Check Decoding of Polar Codes. - Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora:
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning. - Sahar Abdelnabi, Rakibul Hasan, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. - Ahmad Biniaz:
Acute Tours in the Plane. - Louise Bloch, Raphael Brüngel, Christoph M. Friedrich:
Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers. - Garvit Dewan, Louis Jenkins:
Scaling Shared-Memory Data Structures as Distributed Global-View Data Structures in the Partitioned Global Address Space model. - Samuel Carton, Surya Kanoria, Chenhao Tan:
What to Learn, and How: Toward Effective Learning from Rationales. - Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge:
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs. - Garrett Allen, Jie Yang, Maria Soledad Pera, Ujwal Gadiraju:
Using Conversational Artificial Intelligence to Support Children's Search in the Classroom. - Ronen Tamari, Kyle Richardson, Aviad Sar-Shalom, Noam Kahlon, Nelson F. Liu, Reut Tsarfaty, Dafna Shahaf:
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. - Liang S. Lai, Choi-Hong Lai, Abal-Kassim Cheik Ahamed, Frédéric Magoulès:
Coupling and Simulation of Fluid-Structure Interaction Problems for Automotive Sun-roof on Graphics Processing Unit. - Jay Gopalakrishnan, Lukas Kogler, Philip L. Lederer, Joachim Schöberl:
Minimal order H(div)-conforming velocity-vorticity approximations for incompressible fluids. - Steve Mann, Cayden Pierce, Christopher Tong, Christina Mann:
"Vironment": An Art of Wearable Social Distancing. - Chris McDonagh, Xi Chen:
Leveraging Intrinsic Gradient Information for Machine Learning Model Training. - Jonathan W. Berry, Cynthia A. Phillips, Alexandra M. Porter:
Connected Components for Infinite Graph Streams: Theory and Practice. - Savannah Norem, Ashley E. Rice, Samantha Erwin, Robert A. Bridges, Sean Oesch, Brian Weber:
A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data. - Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen:
Fast Topological Clustering with Wasserstein Distance. - Christine Geeng, Alexis Hiniker:
LGBTQ Privacy Concerns on Social Media. - Shubhaankar Gupta, Thomas P. O'Connell, Bernhard Egger:
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias. - Maxwell I. Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena:
Show Your Work: Scratchpads for Intermediate Computation with Language Models. - Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer, Adil Rasheed, Omer San
, Damiano Varagnolo:
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. - Natarajan Arul Murugan, Artur Podobas, Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Stefano Markidis:
A Review on Parallel Virtual Screening Softwares for High Performance Computers. - Gian Singh, Ankit Wagle, Sarma B. K. Vrudhula, Sunil P. Khatri:
CIDAN: Computing in DRAM with Artificial Neurons. - Shamiul Alam, Md. Mazharul Islam, Md. Shafayat Hossain, Akhilesh Jaiswal, Ahmedullah Aziz:
CryoCiM: Cryogenic Compute-in-Memory based on the Quantum Anomalous Hall Effect. - Petr Plechác, Gabriel Stoltz, Ting Wang:
Martingale product estimators for sensitivity analysis in computational statistical physics. - Mrinmoy Roy, Venkata Devesh Reddy Seethi, Pratool Bharti:
CovidAlert - A Wristwatch-based System to Alert Users from Face Touching. - Yuxin Chen, Benjamin Brock, Serban D. Porumbescu, Aydin Buluç, Katherine A. Yelick, John D. Owens:
Atos: A Task-Parallel GPU Dynamic Scheduling Framework for Dynamic Irregular Computations. - Yichi Zhang, Zhiru Zhang, Lukasz Lew:
PokeBNN: A Binary Pursuit of Lightweight Accuracy. - Yixuan Liu, Chrysafis Vogiatzis, Ruriko Yoshida, Erich Morman:
Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning. - Corne Lukken, Giulia Frascaria, Animesh Trivedi
:
ZCSD: a Computational Storage Device over Zoned Namespaces (ZNS) SSDs. - Farimasadat Miri, Richard W. Pazzi:
A Comprehensive Survey on the Convergence of Vehicular Social Networks and Fog Computing. - Ali Esmaeily, Katina Kralevska, Toktam Mahmoodi:
Slicing Scheduling for Supporting Critical Traffic in Beyond 5G. - Philipp Kopp, Victor M. Calo, Ernst Rank, Stefan Kollmannsberger:
Space-time hp finite elements for heat evolution in laser-based additive manufacturing. - Michael Färber, Anna Steyer:
Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text. - Enrica Rossi, Marco Tognon, Luca Ballotta, Ruggero Carli, Juan Cortés, Antonio Franchi, Luca Schenato:
Coordinated Multi-Robot Trajectory Tracking over Sampled Communication. - Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer:
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information. - Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool:
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring. - Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li:
3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image. - Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis:
SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. - Ruisi Zhang, Youwei Liang, Sai Ashish Somayajula, Pengtao Xie:
Improving Differentiable Architecture Search with a Generative Model. - Julius Kunze, James Townsend, David Barber:
Adaptive Optimization with Examplewise Gradients. - Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott:
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. - Jing Shi, Ning Xu, Haitian Zheng, Alex Smith, Jiebo Luo, Chenliang Xu:
SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing. - Qiushi Bai, Sadeem Alsudais, Chen Li, Shuang Zhao:
Maliva: Using Machine Learning to Rewrite Visualization Queries Under Time Constraints. - Paramanand Chandramouli, Hendrik Sommerhoff, Andreas Kolb:
Light Field Implicit Representation for Flexible Resolution Reconstruction. - Weiwei Jiang, Chaofan Wang, Zhanna Sarsenbayeva, Andrew Irlitti, Jarrod Knibbe, Tilman Dingler, Jorge Gonçalves, Vassilis Kostakos:
InfoPrint: Embedding Information into 3D Printed Objects. - Zoe Moorton, Zeyneb Kurt
, Wai Lok Woo
:
Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife? - Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta:
Public Data-Assisted Mirror Descent for Private Model Training. - Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy:
Efficient Online Bayesian Inference for Neural Bandits. - Sergios Gerakidis, Sofia Megarchioti, Basilis Mamalis:
Efficient Big Text Data Clustering Algorithms using Hadoop and Spark. - Alexander Rich, Noah Stier, Pradeep Sen, Tobias Höllerer:
3DVNet: Multi-View Depth Prediction and Volumetric Refinement. - Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia:
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. - Loc Hoang Tran, Tuan Tran, An Mai:
Improved sparse PCA method for face and image recognition. - Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi:
Environmental Sound Extraction Using Onomatopoeia. - Zhijian Yang, Xiaoran Fan, Volkan Isler, Hyunsoo Park:
PoseKernelLifter: Metric Lifting of 3D Human Pose using Sound. - Sammy Sidhu, Linda Wang, Tayyab Naseer, Ashish Malhotra, Jay Chia, Aayush Ahuja, Ella Rasmussen, Qiangui Huang, Ray Gao:
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles. - Taotao Zhou, Xiaoge Zhang, Enrique López Droguett, Ali Mosleh:
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems. - Mostafa Rezapour, Lucas Hansen:
A Machine Learning Analysis of COVID-19 Mental Health Data. - William F. Godoy, Andrei T. Savici, Steven E. Hahn, Peter F. Peterson:
Efficient loading of reduced data ensembles produced at ORNL SNS/HFIR neutron time-of-flight facilities. - Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen, Jörg Lässig:
Frequency Fitness Assignment: Optimization without a Bias for Good Solutions can be Efficient. - Kaihao Zhang, Wenhan Luo, Boheng Chen, Wenqi Ren, Björn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang:
Benchmarking Deep Deblurring Algorithms: A Large-Scale Multi-Cause Dataset and A New Baseline Model. - Noah Stier, Alexander Rich, Pradeep Sen, Tobias Höllerer:
VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion. - Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr:
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. - Shiwen Ni, Jiawen Li, Hung-Yu Kao:
True or False: Does the Deep Learning Model Learn to Detect Rumors? - Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong:
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions. - Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou:
Adversarial Attacks Against Deep Generative Models on Data: A Survey. - Gouhei Tanaka, Ryosho Nakane:
Simulation platform for pattern recognition based on reservoir computing with memristor networks. - Hongmin Gao, Zhonghao Chen, Chenming Li:
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification. - Pan Li, Shaogang Gong, Yanwei Fu, Chengjie Wang:
Ranking Distance Calibration for Cross-Domain Few-Shot Learning. - Kathy Nguyen, Shantanu Pal, Zahra Jadidi, Ali Dorri, Raja Jurdak:
A Blockchain-Enabled Incentivised Framework for Cyber Threat Intelligence Sharing in ICS. - Liyuan Ma, Kejie Huang, Dongxu Wei, Haibin Shen:
GLocal: Global Graph Reasoning and Local Structure Transfer for Person Image Generation. - Yichen Zhu, Jie Du, Yuqin Zhu, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang:
Training BatchNorm Only in Neural Architecture Search and Beyond. - Yi Huang, Zhiyu Chen, Dai Li, Kaiyuan Yang:
CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories. - Yiguang Zhang, Augustin Chaintreau:
Unequal Opportunities in Multi-hop Referral Programs. - Vamsi K. Amalladinne, Jamison R. Ebert, Jean-François Chamberland, Krishna R. Narayanan:
An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access. - Sourabha Bharadwaj, Karunakar Gonabattula, Sudipta Saha, Chayan Sarkar, Rekha Raja:
Concurrent Transmission for Multi-Robot Coordination. - Jay Gala, Pengtao Xie:
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search. - Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke, Guido Zuccon:
MeSH Term Suggestion for Systematic Review Literature Search. - Binghan He, Mahsa Ghasemi, Ufuk Topcu, Luis Sentis:
A Barrier Pair Method for Safe Human-Robot Shared Autonomy. - Liyuan Ma, Kejie Huang, Dongxu Wei, Zhaoyan Ming, Haibin Shen:
FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer. - Anmol Nayak, Hariprasad Timmapathini:
Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition. - Linhao Li, Ming Xu, Yongfeng Dong, Xin Li, Ao Wang, Qinghua Hu:
Interactive Model with Structural Loss for Language-based Abductive Reasoning. - Masato Takeichi:
Conflict-free Collaborative Set Sharing for Distributed Systems. - Masato Takeichi:
Operation-based Collaborative Data Sharing for Distributed Systems. - Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Point Cloud Segmentation Using Sparse Temporal Local Attention. - Andreas Heinecke, Emanuel Mayer, Abhinav Natarajan, Yoonju Jung:
Unsupervised Statistical Learning for Die Analysis in Ancient Numismatics. - Abhisesh Silwal, Francisco Yandún, Anjana K. Nellithimaru, Terry Bates, George Kantor:
Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning. - Fucheng Tian, Jun Zeng, Mengnan Zhang, Liangbin Li:
Mixed displacement-pressure-phase field framework for finite strain fracture of nearly incompressible hyperelastic materials. - Kai Zhang, Yifan Sun, Rui Wang, Haichang Li, Xiaohui Hu:
Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation. - Chen Tang, Wei Zhan, Masayoshi Tomizuka:
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling. - Jiaqi Xu, Yuanwei Liu, Xidong Mu, Robert Schober, H. Vincent Poor:
STAR-RISs: A Correlated T&R Phase-Shift Model and Practical Phase-Shift Configuration Strategies. - Swarup Dhar, Vanessa Massaro, Darakhshan Mir, Nathan C. Ryan:
Uncertainty in Criminal Justice Algorithms: simulation studies of the Pennsylvania Additive Classification Tool. - Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. - Mahmudul Hasan, Jonathan Cruz, Prabuddha Chakraborty, Swarup Bhunia, Tamzidul Hoque:
Software Variants for Hardware Trojan Detection and Resilience in COTS Processors. - Zhichun Huang, Rudrasis Chakraborty, Vikas Singh:
Forward Operator Estimation in Generative Models with Kernel Transfer Operators. - Mengchi Cai, Qing Xu, Chunying Yang, Jianghong Dong, Chaoyi Chen, Jiawei Wang, Jianqiang Wang, Keqiang Li:
Experimental Validation of Multi-lane Formation Control for Connected and Automated Vehicles in Multiple Scenarios. - Zizheng Yang, Xin Jin, Kecheng Zheng, Feng Zhao:
Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification. - Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-Aware Cropping for Self-Supervised Learning. - Siu-Wing Cheng:
Multistage Online Maxmin Allocation of Indivisible Entities. - Danila Rukhovich, Anna Vorontsova, Anton Konushin:
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection. - Jia-Li Yin, Lehui Xie, Wanqing Zhu, Ximeng Liu, Bo-Hao Chen:
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness. - Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong:
Optimizing for In-memory Deep Learning with Emerging Memory Technology. - Dong-Keon Kim, Sung Kuk Shyn, Donghee Kim, Seungwoo Jang, Kwangsu Kim:
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea. - Haochuan Song, Xiaohu You, Chuan Zhang, Christoph Studer:
Soft-Output Joint Channel Estimation and Data Detection using Deep Unfolding. - Ruiyang Liu, Predrag K. Nikolic:
Mutltimodal AI Companion for Interactive Fairytale Co-creation. - Botao Zhu, Ebrahim Bedeer, Ha H. Nguyen, Robert Barton, Jerome Henry:
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model. - Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren:
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees. - Jie Zhu, Bo Peng, Wanqing Li, Haifeng Shen, Zhe Zhang, Jianjun Lei:
Multi-View Stereo with Transformer. - Jihyo Kim, Jiin Koo, Sangheum Hwang:
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks. - Yichun Shen, Wanli Jiang, Zhen Xu, Rundong Li, Junghyun Kwon, Siyi Li:
Confidence Propagation Cluster: Unleash Full Potential of Object Detectors. - Seong Hyun Kim, Sunwon Jeong, Sungbum Park, Ju Yong Chang:
Camera Motion Agnostic 3D Human Pose Estimation. - Han Liu, Pedro Antonino, Zhiqiang Yang, Chao Liu, A. W. Roscoe:
Trusted And Confidential Program Analysis. - Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann:
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems. - Eimantas Ledinauskas, Julius Ruseckas, Julius Marozas, Kasparas Karlauskas, Justas Terentjevas, Augustas Macijauskas, Alfonsas Jursenas:
Automatic travel pattern extraction from visa page stamps using CNN models. - I-Fan Chen, Brian King, Jasha Droppo:
Investigation of Training Label Error Impact on RNN-T. - Jan Engelhardt, Jan Martin Zepter, Jesper Gejl Lage, Tatiana Gabderakhmanova, Mattia Marinelli:
Energy Management of a Multi-Battery System for Renewable-Based High Power EV Charging. - Masahiro Suzuki:
Score Transformer: Generating Musical Score from Note-level Representation. - Yuki Noguchi, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu:
Tool as Embodiment for Recursive Manipulation. - Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma:
Dimensionality Reduction for Categorical Data. - Daniel Lundén, Joey Öhman, Jan Kudlicka, Viktor Senderov, Fredrik Ronquist, David Broman:
Universal Probabilistic Programming Language Compilation with Parallel Efficient Sequential Monte Carlo Inference. - Gihyun Kwon, Jong Chul Ye:
CLIPstyler: Image Style Transfer with a Single Text Condition. - Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
𝓁∞-Robustness and Beyond: Unleashing Efficient Adversarial Training. - Johannes Pankert, Maria Vittoria Minniti, Lorenz Wellhausen, Marco Hutter:
Deep Measurement Updates for Bayes Filters. - Jörg Schröder, Mohammad Sarhil, Lisa Scheunemann, Patrizio Neff:
Lagrange and H(curl, B) based Finite Element formulations for the relaxed micromorphic model. - Woncheol Shin, Gyubok Lee, Jiyoung Lee, Joonseok Lee, Edward Choi:
Translation-equivariant Image Quantizer for Bi-directional Image-Text Generation. - Quoc-Tung Le, Elisa Riccietti
, Rémi Gribonval:
Spurious Valleys, Spurious Minima and NP-hardness of Sparse Matrix Factorization With Fixed Support. - Siyuan Niu
, Aida Todri-Sanial:
How Parallel Circuit Execution Can Be Useful for NISQ Computing? - Tomer Amit, Eliya Nachmani, Tal Shaharabany, Lior Wolf:
SegDiff: Image Segmentation with Diffusion Probabilistic Models. - Praneeth Kumar Vippathalla, Chung Chan, Navin Kashyap, Qiaoqiao Zhou:
Wiretap Secret Key Agreement Via Secure Omniscience. - Manav Agarwal, Shreya Venugopal, Rishab Kashyap, R. Bharathi:
A Comprehensive Study on Various Statistical Techniques for Prediction of Movie Success. - Isinsu Katircioglu, Costa Georgantas, Mathieu Salzmann, Pascal Fua:
Dyadic Human Motion Prediction. - Anthony C. Constantinou, Yang Liu, Neville Kenneth Kitson, Kiattikun Chobtham, Zhigao Guo:
Effective and efficient structure learning with pruning and model averaging strategies. - John Preuß Mattsson, Ben Smeets, Erik Thormarker:
Quantum-Resistant Cryptography. - David Schaller, Marc Hellmuth, Peter F. Stadler:
Orientation of Fitch Graphs and Detection of Horizontal Gene Transfer in Gene Trees. - Zihan Liu, Feijun Jiang, Yuxiang Hu, Chen Shi, Pascale Fung:
NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging. - Ha Min Son, Moon Hyun Kim, Tai-Myoung Chung:
Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data. - Maike Buchin, Anne Driemel, Koen van Greevenbroek, Ioannis Psarros, Dennis Rohde:
Approximating Length-Restricted Means under Dynamic Time Warping. - Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon:
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. - Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi:
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification. - Zhijian He, Shifeng Huo, Tianhui Yang:
An adaptive mixture-population Monte Carlo method for likelihood-free inference. - Alberto Castagna, Ivana Dusparic:
Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems. - Dimitrios Koutsoukos, Raghav Bhartia, Ana Klimovic, Gustavo Alonso:
How to use Persistent Memory in your Database. - Kun Xiao, Guohui Wang, Yi Chen, Yongfeng Xie, Hong Li:
Research on Event Accumulator Settings for Event-Based SLAM. - Tianyue Zheng, Zhe Chen, Shuya Ding, Chao Cai, Jun Luo:
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation. - Giuseppe D'Alconzo, Alessio Meneghetti, Paolo Piasenti:
Security issues of CFS-like digital signature algorithms. - Mattia Soldan
, Alejandro Pardo, Juan León Alcázar, Fabian Caba Heilbron, Chen Zhao, Silvio Giancola, Bernard Ghanem
:
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions. - Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras:
A benchmark with decomposed distribution shifts for 360 monocular depth estimation. - Sanjana Tule, Nhi Ha Lan Le, Buser Say:
Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming. - Mohammad Hammas Saeed, Shiza Ali, Jeremy Blackburn, Emiliano De Cristofaro, Savvas Zannettou, Gianluca Stringhini:
TROLLMAGNIFIER: Detecting State-Sponsored Troll Accounts on Reddit. - Rutika Moharir, Arun D. Prabhu, Sukumar Moharana, Gopi Ramena, Rachit S. Munjal:
On-Device Spatial Attention based Sequence Learning Approach for Scene Text Script Identification. - Chuan-Chi Lai, Yu-De Lin, Chuan-Ming Liu:
Frequent-Pattern Based Broadcast Scheduling for Conflict Avoidance in Multi-Channel Data Dissemination Systems. - Norbert J. Mauser, Carl-Martin Pfeiler, Dirk Praetorius, Michele Ruggeri
:
Unconditional well-posedness and IMEX improvement of a family of predictor-corrector methods in micromagnetics. - Herman J. Haverkort, Rolf Klein:
Hyperbolae are the locus of constant angle difference. - Zhengjuan Tian, Rui Chen, Wen-Xuan Long, Hong Zhou, Marco Moretti:
Broadband beam steering for misaligned multi-mode OAM communication systems. - Roy Miles, Adrián López Rodríguez, Krystian Mikolajczyk:
Information Theoretic Representation Distillation. - Muhammad Jehanzeb Mirza, Jakub Micorek, Horst Possegger, Horst Bischof:
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization. - César Piñeiro, Juan Carlos Pichel:
A unified framework to improve the interoperability between HPC and Big Data languages and programming models. - Vihanga Jayawickrama, Gihan Weeraprameshwara, Nisansa de Silva, Yudhanjaya Wijeratne:
Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts. - Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Rong Yin, Xuhang Chen, Gang Qu, Weisheng Zhao:
Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture. - Wei Wang, Junyu Gao, Changsheng Xu:
Weakly-Supervised Video Object Grounding via Causal Intervention. - Qi Xuan, Zeyu Wang, Jinhuan Wang, Yalu Shan:
Data Augmentation Based on Null Model for Graph Classification. - Zheng Xiong, Luisa M. Zintgraf, Jacob Beck, Risto Vuorio, Shimon Whiteson:
On the Practical Consistency of Meta-Reinforcement Learning Algorithms. - Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin:
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. - Chao Zeng, Sam Kwong:
Learning Transformer Features for Image Quality Assessment. - Andrea Munari, Francisco Lázaro, Giuseppe Durisi, Gianluigi Liva:
An Age of Information Characterization of Frameless ALOHA. - Mert Kilickaya, Arnold W. M. Smeulders:
Human-Object Interaction Detection via Weak Supervision. - Oskar Skibski:
Closeness Centrality via the Condorcet Principle. - Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Donglian Qi, Wanli Ouyang:
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective. - Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi:
Structure-Aware Label Smoothing for Graph Neural Networks. - Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi:
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. - Yanjie Wang, Xu Zou, Zhijun Zhang, Wenhui Xu, Liqun Chen, Sheng Zhong, Luxin Yan, Guodong Wang:
Learning Oriented Remote Sensing Object Detection via Naive Geometric Computing. - Weizhu Bao, Wei Jiang, Yifei Li:
A symmetrized parametric finite element method for anisotropic surface diffusion of closed curves via a Cahn-Hoffman ξ-vector formulation. - Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu:
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting. - David Nunez, Francesc Wilhelmi, Stefano Avallone, Malcolm Smith, Boris Bellalta:
TXOP sharing with Coordinated Spatial Reuse in Multi-AP Cooperative IEEE 802.11be WLANs. - Reza Lavaei, Leila Jasmine Bridgeman:
Simultaneous Controller and Lyapunov Function Design for Constrained Nonlinear Systems. - Vladimir Shenmaier:
On the Complexity of the Geometric Median Problem with Outliers. - Chuang Liu, Hua Yang, Qin Zhou, Shibao Zheng:
Subtask-dominated Transfer Learning for Long-tail Person Search. - Marc-Antoine Beaudoin, Benoit Boulet:
Improving gearshift controllers for electric vehicles with reinforcement learning. - Nicolas Olivier, Kelian Baert, Fabien Danieau, Franck Multon, Quentin Avril:
FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks. - Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar:
Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis. - Peter A. Gloor, Matthäus Paul Zylka, Andrea Fronzetti Colladon, Márton Makai:
'Entanglement' - A new dynamic metric to measure team flow. - Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Molecular Contrastive Learning with Chemical Element Knowledge Graph. - Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel:
SaDe: Learning Models that Provably Satisfy Domain Constraints. - Camille Roth, Jonathan St-Onge, Katrin Herms:
Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter. - Jack W. Barker, Neelanjan Bhowmik, Toby P. Breckon:
Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery. - Rui Wang:
3D Reconstruction Using a Linear Laser Scanner and a Camera. - Xihua Sheng, Li Li, Dong Liu, Zhiwei Xiong:
Attribute Artifacts Removal for Geometry-based Point Cloud Compression. - Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis:
NLP Research and Resources at DaSciM, Ecole Polytechnique. - Arda Akdemir, Yeojoo Jeon:
DPRK-BERT: The Supreme Language Model. - Hangtong Wu, Dan Zeng, Yibo Hu, Hailin Shi, Tao Mei:
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning. - Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodríguez, David Vázquez:
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. - Linus Boes, Rachael Colley, Umberto Grandi, Jérôme Lang, Arianna Novaro:
Collective discrete optimisation as judgment aggregation. - Leon Bergen, Timothy J. O'Donnell, Dzmitry Bahdanau:
Systematic Generalization with Edge Transformers. - Avinandan Bose, Pradeep Varakantham:
Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling. - Pingyu Wu, Wei Zhai, Yang Cao:
Background Activation Suppression for Weakly Supervised Object Localization. - Yue Wang, Xu Jia, Lu Zhang, Yuke Li, James H. Elder, Huchuan Lu:
Transformer-based Network for RGB-D Saliency Detection. - Edward W. Staley, Chace Ashcraft, Benjamin Stoler, Jared Markowitz, Gautam K. Vallabha, Christopher Ratto, Kapil D. Katyal:
Meta Arcade: A Configurable Environment Suite for Meta-Learning. - Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie:
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts. - Foivos Paraperas Papantoniou, Panagiotis Paraskevas Filntisis, Petros Maragos, Anastasios Roussos:
Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videos. - Md. Nazmul Kabir Sikder, Feras A. Batarseh:
Outlier Detection using AI: A Survey. - Félix Grèzes, Sergi Blanco-Cuaresma
, Alberto Accomazzi
, Michael J. Kurtz
, Golnaz Shapurian, Edwin A. Henneken
, Carolyn S. Grant, Donna M. Thompson, Roman Chyla, Stephen McDonald, Timothy W. Hostetler, Matthew R. Templeton, Kelly E. Lockhart
, Nemanja Martinovic
, Shinyi Chen
, Chris Tanner, Pavlos Protopapas:
Building astroBERT, a language model for Astronomy & Astrophysics. - Andrei Svetovidov, Abdul Rahman, Feras A. Batarseh:
AI Assurance using Causal Inference: Application to Public Policy. - Unnikrishnan Kunnath Ganesan, Rimalapudi Sarvendranath, Erik G. Larsson:
BeamSync: Over-The-Air Carrier Synchronization in Distributed RadioWeaves. - Todor Davchev, Oleg Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz:
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. - Arnau Martí-Sarri, Víctor Rodríguez-Fernández:
An implementation of the "Guess who?" game using CLIP. - Imtiaz Ahmed, Satish T. S. Bukkapatnam, Bhaskar Botcha, Yu Ding:
Towards Futuristic Autonomous Experimentation-A Surprise-Reacting Sequential Experiment Policy. - Magnús M. Halldórsson, Fabian Kuhn, Alexandre Nolin, Tigran Tonoyan:
Near-Optimal Distributed Degree+1 Coloring. - Aaron Yi Ding, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, Schahram Dustdar, Thomas Hiessl, Dieter Kranzlmüller, Madhusanka Liyanage
, Setareh Magshudi, Nitinder Mohan, Jörg Ott, Jan S. Rellermeyer, Stefan Schulte, Henning Schulzrinne, Gürkan Solmaz, Sasu Tarkoma, Blesson Varghese, Lars C. Wolf:
Roadmap for Edge AI: A Dagstuhl Perspective. - José Manuel Gaspar Sánchez, Nils Jörgensen, Martin Törngren, Rafia Inam, Andrii Berezovskyi, Lei Feng, Elena Fersman, Muhammad Rusyadi Ramli, Kaige Tan:
Edge computing for cyber-physical systems: A systematic mapping study emphasizing trustworthiness. - Gabriel Ammes, Walter Lau Neto, Paulo F. Butzen, Pierre-Emmanuel Gaillardon, Renato P. Ribas:
A Two-Level Approximate Logic Synthesis Combining Cube Insertion and Removal. - Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi:
The Effect of People Recommenders on Echo Chambers and Polarization. - Seyed Abolfazl Ghasemzadeh, Gabriel Van Zandycke, Maxime Istasse, Niels Sayez, Amirafshar Moshtaghpour, Christophe De Vleeschouwer:
DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes. - Laurent Feuilloley, Michel Habib:
Classifying grounded intersection graphs via ordered forbidden patterns. - Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Elahe Rahimian, Shahin Heidarian, Jamshid Abouei, Konstantinos N. Plataniotis:
TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks. - Nathan Drenkow, Numair Sani, Ilya Shpitser, Mathias Unberath:
Robustness in Deep Learning for Computer Vision: Mind the gap? - Xingyu Zhao, Wei Huang, Vibhav Bharti, Yi Dong, Victoria Cox, Alec Banks, Sen Wang, Sven Schewe, Xiaowei Huang:
Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems. - Yu-Chin Chan, Daicong Da, Liwei Wang, Wei Chen:
Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending. - Claire Palmer, Ben Roullier, Muhammed Aamir, Frank McQuade, Leonardo Stella, Ashiq Anjum:
Digital Twinning Remote Laboratories for Online Practical Learning. - Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor:
Variational Learning for Unsupervised Knowledge Grounded Dialogs. - Saideep Tiku, Sudeep Pasricha:
Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices. - Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos:
Efficient and Local Parallel Random Walks. - Alex Jinpeng Wang, Yixiao Ge, Guanyu Cai, Rui Yan, Xudong Lin, Ying Shan, Xiaohu Qie, Mike Zheng Shou:
Object-aware Video-language Pre-training for Retrieval. - Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao:
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines. - Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek:
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation. - Baxi Chong, Yasemin Ozkan Aydin, Jennifer M. Rieser, Guillaume Sartoretti, Tianyu Wang, Julian Whitman, Abdul Kaba, Enes Aydin, Ciera McFarland, Howie Choset, Daniel I. Goldman:
A general locomotion control framework for serially connected multi-legged robots. - Junyan Cheng, Iordanis Fostiropoulos, Barry W. Boehm:
Graph Conditioned Sparse-Attention for Improved Source Code Understanding. - Leonardo de Melo Joao, Alexandre Xavier Falcão:
Saliency Enhancement using Superpixel Similarity. - Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh, Ian Welch, Harith Al-Sahaf, Seyit Camtepe:
A Few-Shot Meta-Learning based Siamese Neural Network using Entropy Features for Ransomware Classification. - Oded Goldreich, Avi Wigderson:
Robustly Self-Ordered Graphs: Constructions and Applications to Property Testing. - Laura A. M. D'Angelo, Yvonne Späck-Leigsnering, Herbert De Gersem:
Quasi-3D Magneto-Thermal Quench Simulation Scheme for Superconducting Accelerator Magnets. - Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka:
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning. - Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang, Bao-Di Liu:
MDFM: Multi-Decision Fusing Model for Few-Shot Learning. - Xiaoxiao Sun, Yunzhong Hou, Hongdong Li, Liang Zheng:
Label-Free Model Evaluation with Semi-Structured Dataset Representations. - Priyank Kalgaonkar, Mohamed El-Sharkawy:
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems. - Eliane Maria De Bortoli Fávero, Dalcimar Casanova:
BERT_SE: A Pre-trained Language Representation Model for Software Engineering. - Hao Hao Tan:
Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profiles. - Jerry Li, Allen Liu:
Clustering Mixtures with Almost Optimal Separation in Polynomial Time. - Wei Ren, Eleftherios E. Vlahakis, Nikolaos Athanasopoulos, Raphaël M. Jungers:
Optimal Resource Scheduling and Allocation in Distributed Computing Systems. - Lucas Ondel, Léa-Marie Lam-Yee-Mui, Martin Kocour, Caio Filippo Corro, Lukás Burget:
GPU-Accelerated Forward-Backward algorithm with Application to Lattice-Free MMI. - Wouter Zorgdrager, Kyriakos Psarakis, Marios Fragkoulis, Eelco Visser, Asterios Katsifodimos:
Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows. - Ron Korenblum Pick, Vladyslav Kozhukhov, Dan Vilenchik, Oren Tsur:
STEM: Unsupervised STructural EMbedding for Stance Detection. - Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra:
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. - Jianyuan Wang, Ceyuan Yang, Yinghao Xu, Yujun Shen, Hongdong Li, Bolei Zhou:
Improving GAN Equilibrium by Raising Spatial Awareness. - Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, Binh-Son Hua:
HyperInverter: Improving StyleGAN Inversion via Hypernetwork. - Jan van den Brand, Yu Gao, Arun Jambulapati, Yin Tat Lee, Yang P. Liu, Richard Peng, Aaron Sidford:
Faster Maxflow via Improved Dynamic Spectral Vertex Sparsifiers. - Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan:
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. - Yuki M. Asano, Aaqib Saeed:
Extrapolating from a Single Image to a Thousand Classes using Distillation. - Anh-Quan Cao
, Raoul de Charette:
MonoScene: Monocular 3D Semantic Scene Completion. - Daisuke Iwai:
Is Projection Mapping Natural? Towards Physical World Augmentation Consistent with Light Field Context. - Hongyi Yuan, Sheng Yu:
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification. - Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin, Tao Qin:
Federated Learning with Adaptive Batchnorm for Personalized Healthcare. - Haotong Qin:
Hardware-friendly Deep Learning by Network Quantization and Binarization. - Yiming Wang, Dongxia Chang, Zhiqiang Fu, Yao Zhao:
Incomplete Multi-view Clustering via Cross-view Relation Transfer. - Jubril Gbolahan Adigun, Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T. Matt, Anna Perini, Barbara Russo, Angelo Susi:
Collaborative AI Needs Stronger Assurances Driven by Risks. - Matthew Katsaros, Kathy Yang, Lauren Fratamico:
Reconsidering Tweets: Intervening During Tweet Creation Decreases Offensive Content. - Kevin Duarte, Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Samuel Thomas, Alexander H. Liu, David Harwath, James R. Glass, Hilde Kuehne, Mubarak Shah:
Routing with Self-Attention for Multimodal Capsule Networks. - Marisa Hudspeth, Sogol Balali, Cindy Grimm, Ross T. Sowell:
Effects of Interfaces on Human-Robot Trust: Specifying and Visualizing Physical Zones. - Peyman Morteza, Yixuan Li:
Provable Guarantees for Understanding Out-of-distribution Detection. - Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman:
Controlling Conditional Language Models with Distributional Policy Gradients. - Robert Andrews, Michael A. Forbes:
Ideals, Determinants, and Straightening: Proving and Using Lower Bounds for Polynomial Ideals. - Liam Burrows, Ke Chen, Francesco Torella:
Using Deep Image Prior to Assist Variational Selective Segmentation Deep Learning Algorithms. - Abimbola Helen Afolayan, Bolanle Adefowoke Ojokoh, Adebayo Olusola Adetunmbi:
A Feedback Integrated Web-Based Multi-Criteria Group Decision Support Model for Contractor Selection using Fuzzy Analytic Hierarchy Process. - Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo I. Seltzer:
Fast Sparse Decision Tree Optimization via Reference Ensembles. - Jaime Sevilla:
Finding, Scoring and Explaining Arguments in Bayesian Networks. - Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi:
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. - Chahat Raj
, Priyanka Meel:
A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks. - Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik:
PreViTS: Contrastive Pretraining with Video Tracking Supervision. - Subhajit Dutta Chowdhury, Kaixin Yang, Pierluigi Nuzzo:
ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering. - William B. Langdon:
Evolving Open Complexity. - Kate Donahue, Jon M. Kleinberg:
Models of fairness in federated learning. - Teyun Kwon, Anandha Gopalan:
CO-STAR: Conceptualisation of Stereotypes for Analysis and Reasoning. - Boitumelo Ruf, Martin Weinmann, Stefan Hinz:
FaSS-MVS - Fast Multi-View Stereo with Surface-Aware Semi-Global Matching from UAV-borne Monocular Imagery. - Samuel H. Rudy, Themistoklis P. Sapsis:
Output-weighted and relative entropy loss functions for deep learning precursors of extreme events. - Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts:
Inducing Causal Structure for Interpretable Neural Networks. - Avinandan Bose, Soumendu Sundar Mukherjee:
Changepoint Analysis of Topic Proportions in Temporal Text Data. - Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith:
The Price of Differential Privacy under Continual Observation. - Xiuwen Zheng, Subhasis Dasgupta, Arun Kumar, Amarnath Gupta:
Processing Analytical Queries in the AWESOME Polystore [Information Systems Architectures]. - Sebastian Perez-Salazar, Mohit Singh, Alejandro Toriello:
Robust Online Selection with Uncertain Offer Acceptance. - Junyi Zhu, Matthew B. Blaschko:
Differentially Private SGD with Sparse Gradients. - Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just, Matthew J. Darr, Ali Jannesari:
CLAWS: Contrastive Learning with hard Attention and Weak Supervision. - Sébastien Ferré:
First Steps of an Approach to the ARC Challenge based on Descriptive Grid Models and the Minimum Description Length Principle. - Andrey Kuehlkamp, Aidan Boyd, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn, Dennis Chute, Eric Benjamin:
Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition. - Faheem Ullah, Muhammad Ali Babar:
On the Scalability of Big Data Cyber Security Analytics Systems. - Oindrila Saha, Zezhou Cheng, Subhransu Maji:
GANORCON: Are Generative Models Useful for Few-shot Segmentation? - Haiwen Huang, Joost van Amersfoort, Yarin Gal:
Decomposing Representations for Deterministic Uncertainty Estimation. - Vinícius Albernaz Lacerda, Eduardo Prieto-Araujo, Marc Cheah-Mañe, Oriol Gomis-Bellmunt:
Phasor Modelling Approaches and Simulation Guidelines of Voltage-Source Converters in Grid-Integration Studies. - Christoph Frädrich, Florian Obermüller, Nina Körber, Ute Heuer, Gordon Fraser:
Common Bugs in Scratch Programs. - Michael Färber, Alexander Klein:
Are Investors Biased Against Women? Analyzing How Gender Affects Startup Funding in Europe. - Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones:
Robust Resource-Aware Self-triggered Model Predictive Control. - Amanda Askell, Yuntao Bai, Anna Chen, Dawn Drain, Deep Ganguli, Tom Henighan, Andy Jones, Nicholas Joseph, Benjamin Mann, Nova DasSarma, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Jackson Kernion, Kamal Ndousse, Catherine Olsson, Dario Amodei, Tom B. Brown, Jack Clark, Sam McCandlish, Chris Olah, Jared Kaplan:
A General Language Assistant as a Laboratory for Alignment. - Lluc Figueras Llerins, Vinícius Albernaz Lacerda, Adrien Guironnet, Quentin Cossart, Eduardo Prieto-Araujo, Oriol Gomis-Bellmunt:
Modelling and Simulation of Power Systems with Grid-Connected Converters in OpenModelica. - Sasan Mohyaddin, Johannes Tausch:
A fast method for evaluating Volume potentials in the Galerkin boundary element method. - Vinícius Albernaz Lacerda, Jaume Girona-Badia, Stephan Kusche, Florian Pöschke, Eduardo Prieto-Araujo, Horst Schulte, Oriol Gomis-Bellmunt:
Modelling Approaches of Power Systems Considering Grid-Connected Converters and Renewable Generation Dynamics. - Carlos Collados-Rodríguez, Eduard Antolí-Gil, Enric Sánchez-Sánchez, Jaume Girona-Badia, Vinícius Albernaz Lacerda, Marc Cheah-Mañe, Eduardo Prieto-Araujo, Oriol Gomis-Bellmunt:
Definition of scenarios for modern power systems with a high renewable energy share. - Hanjun Dai, Yuan Xue, Zia Syed, Dale Schuurmans, Bo Dai:
Neural Stochastic Dual Dynamic Programming. - Shyama Kumari Arunachalam, Roopa V, Meena H. B, Vijayalakshmi, T. Malavika:
Secure and Safety Mobile Network System for Visually Impaired People. - Rahul Dey, Vishnu Naresh Boddeti:
Generating Diverse 3D Reconstructions from a Single Occluded Face Image. - Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller:
Learning Invariant Representations with Missing Data. - André Flores, Rodrigo C. de Lamare, Kumar Vijay Mishra:
Rate-Splitting Meets Cell-Free MIMO Communications. - Archana Bura, Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai, Jean-François Chamberland:
Safe Exploration for Constrained Reinforcement Learning with Provable Guarantees. - Tobias Glasmachers:
The (1+1)-ES Reliably Overcomes Saddle Points. - Brian Barr, Matthew R. Harrington, Samuel Sharpe, C. Bayan Bruss:
Counterfactual Explanations via Latent Space Projection and Interpolation. - Matthew Dutson, Mohit Gupta:
Event Neural Networks. - Bo-Ying Su, Shang-Ling Hsu, Kuan-Yin Lai, Jane Yung-jen Hsu:
Context-Dependent Semantic Parsing for Temporal Relation Extraction. - Yongzhao Wang, Michael P. Wellman:
Empirical Game-Theoretic Analysis in Mean Field Games. - Charles Packer, Pieter Abbeel, Joseph E. Gonzalez:
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. - Yingdong Qian, Marta Kryven, Tao Gao, Hanbyul Joo, Josh Tenenbaum:
Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics. - Zhiyuan Chen, Xiaomin Fang, Fan Wang, Xiaotian Fan, Hua Wu, Haifeng Wang:
CELLS: Cost-Effective Evolution in Latent Space for Goal-Directed Molecular Generation. - Chenwu Zhang, Hancheng Lu, Jinxue Liu:
IMRecoNet: Learn to Detect in Index Modulation Aided MIMO Systems with Complex Valued Neural Networks. - Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee:
ProtGNN: Towards Self-Explaining Graph Neural Networks. - Andy Shih, Dorsa Sadigh, Stefano Ermon:
HyperSPNs: Compact and Expressive Probabilistic Circuits. - Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu:
Context-Aware Online Client Selection for Hierarchical Federated Learning. - Mingjian Tuo, Xingpeng Li:
Long-Term Recurrent Convolutional Network-based Inertia Estimation using Ambient Measurements. - Paul S. Oh, Sean Soek-Chul Kwon, Andreas F. Molisch:
Antenna Selection in Polarization Reconfigurable MIMO (PR-MIMO) Communication Systems. - Giacomo Dimarco, Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
Multi-fidelity methods for uncertainty propagation in kinetic equations. - Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. - Ted Fujimoto, Timothy Doster, Adam Attarian, Jill Brandenberger, Nathan Hodas:
Reward-Free Attacks in Multi-Agent Reinforcement Learning. - Laurent Valentin Jospin, Farid Boussaïd, Hamid Laga, Mohammed Bennamoun:
Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based Matching. - Ross Greer, Jason Isa, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi:
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset. - Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu:
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. - Chao Zhang, Zhijian Li, Hui Qian, Xin Du:
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. - Xin Tang, Yongquan Lai, Ying Liu, Yuanyuan Fu, Rui Fang:
Visual-Semantic Transformer for Scene Text Recognition. - David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna:
Quantile Filtered Imitation Learning. - Xiaoyan Liu, Zhiwei Xu, Yana Qin, Jie Tian:
A Discrete-event-based Simulator for Deep Learning at Edge. - Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani:
Maximum Consensus by Weighted Influences of Monotone Boolean Functions. - Tianshu Xie, Xuan Cheng, Minghui Liu, Jiali Deng, Xiaomin Wang, Ming Liu:
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency. - Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Unsupervised Graph Domain Adaptation. - Manabu Nakanoya, Junha Im, Hang Qiu, Sachin Katti, Marco Pavone, Sandeep Chinchali:
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving. - Sourav Biswas, Kangxue Yin, Maria Shugrina, Sanja Fidler, Sameh Khamis:
Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting. - Majid Jaberi Douraki, Soudabeh Taghian Dinani, Nuwan Indika Millagaha Gedara, Xuan Xu, Emily Richards, Fiona Maunsell, Nader Zad, Lisa Ann Tell:
Large-Scale Data Mining of Rapid Residue Detection Assay Data From HTML and PDF Documents: Improving Data Access and Visualization for Veterinarians. - Zixuan Yuan, Yada Zhu, Wei Zhang, Ziming Huang, Guangnan Ye, Hui Xiong:
Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis. - Ziyuan Zhong, Yun Tang, Yuan Zhou, Vânia de Oliveira Neves, Yang Liu, Baishakhi Ray:
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation. - Bei Tong, Xiaoyuan Yu:
Vision Pair Learning: An Efficient Training Framework for Image Classification. - Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang:
Relational Graph Learning for Grounded Video Description Generation. - Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim:
Object-Centric Unsupervised Image Captioning. - Gengchen Mai, Weiming Huang, Ling Cai, Rui Zhu, Ni Lao:
Narrative Cartography with Knowledge Graphs. - Shashi Suman, François Rivest, Ali Etemad:
Towards Personalization of User Preferences in Partially Observable Smart Home Environments. - Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. - Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu, Yueting Zhuang:
Consensus Graph Representation Learning for Better Grounded Image Captioning. - Junwen Bai, Shufeng Kong, Carla P. Gomes:
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. - Naveen Durvasula, Franklyn Wang, Scott Duke Kominers:
Recommending with Recommendations. - Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang:
Trap of Feature Diversity in the Learning of MLPs. - Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown:
Evaluation of mathematical questioning strategies using data collected through weak supervision. - Xiaowu Dai, Yuhua Zhu:
On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective. - Tran Viet Khoa, Dinh Thai Hoang, Nguyen Linh Trung, Cong Thanh Nguyen, Tran Thi Thuy Quynh, Diep N. Nguyen
, Nguyen Viet Ha, Eryk Dutkiewicz
:
Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks. - Junjie Yu, Chenyi Li, Kexin Lou, Chen Wei, Quanying Liu:
Embedding Decomposition for Artifacts Removal in EEG Signals. - Liting Lin, Heng Fan, Yong Xu, Haibin Ling:
SwinTrack: A Simple and Strong Baseline for Transformer Tracking. - Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin:
Contrastive Cross-domain Recommendation in Matching. - Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, Ruslan Salakhutdinov:
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency. - Sai Vikneshwar Mani Jayaraman, Corey Ropell, Atri Rudra:
Worst-case Optimal Binary Join Algorithms under General 𝓁p Constraints. - Quan Quan, Yan Gao, Chenggang Bai:
Distributed Control for a Robotic Swarm to Pass through a Curve Virtual Tube. - Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry:
Editing a classifier by rewriting its prediction rules. - Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik:
Differentiable Spatial Planning using Transformers. - Biyang Liu, Huimin Yu, Yangqi Long:
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks. - Ying-Hong Chan, Ho-Lam Chung, Yao-Chung Fan:
Improving Controllability of Educational Question Generation by Keyword Provision. - Giovanni Barbarino, Davide Bianchi, Carlo Garoni:
Constructive approach to the monotone rearrangement of functions. - Helen Jiang, Erwen Senge:
On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System. - Lin Nie, Lingbo Liu, Zhengtao Wu, Wenxiong Kang:
Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and A New Benchmark. - Haoran Zhang, Quaid Morris, Berk Ustun, Marzyeh Ghassemi:
Learning Optimal Predictive Checklists. - Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang:
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. - Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song:
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning. - Bo Yan, Leilei Cao, Hongbin Wang:
TBN-ViT: Temporal Bilateral Network with Vision Transformer for Video Scene Parsing. - Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato:
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. - Weibin Li, Mingkai He, Zhengjie Huang, Xianming Wang, Shikun Feng, Weiyue Su, Yu Sun:
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems. - Xingzhe He, Bastian Wandt, Helge Rhodin:
GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation. - Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. - Lijin Yang, Yifei Huang, Yusuke Sugano, Yoichi Sato:
Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips. - Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief:
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning. - Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu:
EngineKGI: Closed-Loop Knowledge Graph Inference. - Junho Kim, Jaehyeok Bae, Gangin Park, Young Min Kim:
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras. - Tianyi Zhang:
Gomory-Hu Trees in Quadratic Time. - Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng:
ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton. - Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding. - Wanli Li, Tieyun Qian:
From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction. - Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim:
Bayesian Optimization over Permutation Spaces. - Adi Mesika, Yizhak Ben-Shabat, Ayellet Tal:
CloudWalker: 3D Point Cloud Learning by Random Walks for Shape Analysis. - Ipsita Mohanty, Ankit Goyal, Alex Dotterweich:
Emotions are Subtle: Learning Sentiment Based Text Representations Using Contrastive Learning. - Andrea Marin, Isi Mitrani:
A Foreground-Background queueing model with speed or capacity modulation. - Fengliang Qi, Bo Yan, Leilei Cao, Hongbin Wang:
Stronger Baseline for Person Re-Identification. - Abdorasoul Ghasemi, Holger Kantz:
Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid Networks. - Yitian Yuan, Lin Ma, Wenwu Zhu:
Syntax Customized Video Captioning by Imitating Exemplar Sentences. - Jesper Muren, Vilhelm Niklasson, Dmitry Otryakhin, Maxim Romashin:
Fast automatic deforestation detectors and their extensions for other spatial objects. - Zhili Wang, Shimin Di, Lei Chen:
AutoGEL: An Automated Graph Neural Network with Explicit Link Information. - Quentin De Coninck:
The Packet Number Space Debate in Multipath QUIC. - Chong Zhou, Chen Change Loy, Bo Dai:
DenseCLIP: Extract Free Dense Labels from CLIP. - Bo Yan, Fengliang Qi, Leilei Cao, Hongbin Wang:
The Second Place Solution for ICCV2021 VIPriors Instance Segmentation Challenge. - Yitian Yuan, Lin Ma, Jingwen Wang, Wenwu Zhu:
Controllable Video Captioning with an Exemplar Sentence. - Norman A. Rink, Adam Paszke, Dimitrios Vytiniotis, Georg Stefan Schmid:
Memory-efficient array redistribution through portable collective communication. - Sihan Mao, Jinchi Chen:
Blind Super-resolution of Point Sources via Projected Gradient Descent. - Zeyang Liu, Lipeng Wan, Xue Sui, Kewu Sun, Xuguang Lan:
Multi-Agent Intention Sharing via Leader-Follower Forest. - Shudong Yang:
Who will dropout from university? Academic risk prediction based on interpretable machine learning. - Daniil Baldouski, Aleksandar Tosic:
Grafana plugin for visualising vote based consensus mechanisms, and network P2P overlay networks. - Ziao Yang, Xiangrui Yang, Qifeng Lin:
TCTN: A 3D-Temporal Convolutional Transformer Network for Spatiotemporal Predictive Learning. - Felix Staudigl, Hazem Al Indari, Daniel Schön, Dominik Sisejkovic, Farhad Merchant, Jan Moritz Joseph, Vikas Rana, Stephan Menzel, Rainer Leupers:
NeuroHammer: Inducing Bit-Flips in Memristive Crossbar Memories. - Guillaume Perez, Sebastian Ament, Carla P. Gomes, Arnaud Lallouet:
Constrained Machine Learning: The Bagel Framework. - Guillaume Theyssier:
The Mirage of Universality in Cellular Automata. - Philip Bradish, Sarang Chaudhari, Michael Clear, Hitesh Tewari:
CoviChain: A Blockchain Based COVID-19 Vaccination Passport. - Surabhi Gupta, Ashwath Shetty, Avinash Sharma:
Attention based Occlusion Removal for Hybrid Telepresence Systems. - Inês Macedo, Sinan Wannous, Nuno Oliveira, Orlando Sousa, Isabel Praça:
A tool to support the investigation and visualization of cyber and/or physical incidents. - Arash Vaezi, Mohammad Ghodsi:
A Constant-Factor Approximation Algorithm for Point Guarding an Art Gallery. - Enrica Rossi, Marco Tognon, Ruggero Carli, Antonio Franchi, Luca Schenato:
Control of over-redundant cooperative manipulation via sampled communication. - Stefan Mengel:
A short note on the counting complexity of conjunctive queries. - Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning. - Jack Stelling, Amir Atapour-Abarghouei:
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving. - Si Yuan Jin, Yong Xia:
CEV Framework: A Central Bank Digital Currency Evaluation and Verification Framework with Focus of Consensus Algorithms and Operating Models. - Matti Henning, Johannes Müller, Fabian Gies, Michael Buchholz, Klaus Dietmayer:
Situation-Aware Environment Perception Using a Multi-Layer Attention Map. - Faeze Ghorbanpour, Maryam Ramezani, Mohammad A. Fazli, Hamid R. Rabiee:
FNR: A Similarity and Transformer-Based Approach to Detect Multi-Modal Fake News in Social Media. - Yann Ramusat, Silviu Maniu, Pierre Senellart:
A Practical Dynamic Programming Approach to Datalog Provenance Computation. - Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu:
Open-set 3D Object Detection. - Ranga Shaarad Ayyagari, Ambedkar Dukkipati:
Risk-Aware Algorithms for Combinatorial Semi-Bandits. - Fabio Catania, Micol Spitale, Franca Garzotto:
Conversational Agents in Therapeutic Interventions for Neurodevelopmental Disorders: A Survey. - Wei Liu, Huanqin Wu, Wenjing Mu, Zhen Li, Tao Chen, Dan Nie:
CO2Sum: Contrastive Learning for Factual-Consistent Abstractive Summarization. - Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao:
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. - Tom H. Luan, Yao Zhang, Lin Cai, Yilong Hui, Changle Li, Nan Cheng:
Autonomous Vehicular Networks: Perspective and Open Issues. - Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee:
Batch Normalization Tells You Which Filter is Important. - Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon:
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. - Garib Nath Singh, Diya Bhattacharyya, Arnab Bandyopadhyay:
Perception and Attitude of Reddit Users Towards Use of Face-Masks in Controlling COVID-19. - Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Learning Robust Recommender from Noisy Implicit Feedback. - Youjian Zhang, Chaoyue Wang, Dacheng Tao:
Video Frame Interpolation without Temporal Priors. - Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind:
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. - Jiajun Zhou, Qi Xuan:
Subgraph Contrastive Link Representation Learning. - Benoit Doussin, Carole Adam, Didier Georges:
Multi-scale simulation of COVID-19 epidemics. - Matheus A. Cavalcante, Anthony Agnesina, Samuel Riedel, Moritz Brunion, Alberto García-Ortiz, Dragomir Milojevic, Francky Catthoor, Sung Kyu Lim, Luca Benini:
MemPool-3D: Boosting Performance and Efficiency of Shared-L1 Memory Many-Core Clusters with 3D Integration. - Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei:
Multi-task Self-distillation for Graph-based Semi-Supervised Learning. - Semih Günel, Florian Aymanns, Sina Honari, Pavan Ramdya, Pascal Fua:
Overcoming the Domain Gap in Neural Action Representations. - Xixi Wang, Bo Jiang, Xiao Wang, Bin Luo:
MutualFormer: Multi-Modality Representation Learning via Mutual Transformer. - Giorgia Minello, Carlo R. M. A. Santagiustina, Massimo Warglien:
LDA2Net: Digging under the surface of COVID-19 topics in scientific literature. - Khac-Hoang Ngo, Giuseppe Durisi, Alexandre Graell i Amat:
Age of Information in Prioritized Random Access. - Alina Walch, Xiang Li, Jonathan Chambers, Nahid Mohajeri, Selin Yilmaz, Martin Patel, Jean-Louis Scartezzini:
Shallow geothermal energy potential for heating and cooling of buildings with regeneration under climate change scenarios. - Ze Tang, Chuanyi Li, Jidong Ge, Xiaoyu Shen, Zheling Zhu, Bin Luo:
AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization. - Kai Kang, Fangzhen Lin:
Computing Class Hierarchies from Classifiers. - Wei Lin, Changhong Zhao:
Cost Functions over Feasible Power Transfer Regions of Virtual Power Plants. - Nikolaos Mavrogeorgis:
Simplifying heterogeneous migration between x86 and ARM machines. - Rui Yan, Mike Zheng Shou, Yixiao Ge, Alex Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang:
Video-Text Pre-training with Learned Regions. - Oleg Svidchenko, Aleksei Shpilman:
Maximum Entropy Model-based Reinforcement Learning. - Wenkai Chen, Chuang Zhu, Yi Chen:
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels. - Ismail Arai, Samy El-Tawab, Ahmad Salman, Ahmed Elnoshokaty:
The Effect of COVID-19 on the Transit System in Two Regions: Japan and USA. - Lars Flessing, Grigory Devadze, Stefan Streif:
Formal verification of a controller implementation in fixed-point arithmetic. - Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser:
Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking. - Jan Pöppel, Sebastian Kahl, Stefan Kopp:
Resonating Minds - Emergent Collaboration Through Hierarchical Active Inference. - Haiquan Wang, Hans-Dietrich Haasis, Panpan Du, Xiaobin Xu, Menghao Su, Shengjun Wen, Wenxuan Yue, Shanshan Zhang:
Adaptive Group Collaborative Artificial Bee Colony Algorithm. - Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon:
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. - James Sud, Victor Li:
A Quantum Annealing Approach to Reduce Covid-19 Spread on College Campuses. - Dan Bi, Ju'e Guo, Erlong Zhao, Shaolong Sun, Shouyang Wang:
Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports. - Tor Sporsem, Morten Hatling, Marius Mikalsen:
Invisible Data Curation Practices: A Case Study from Facility Management. - Avishek Choudhury, Onur Asan, Mo Mansouri:
Role of Artificial Intelligence, Clinicians & Policymakers in Clinical Decision Making: A Systems Viewpoint. - Chang-Shing Lee, Mei-Hui Wang, Yusuke Nojima, Marek Z. Reformat, Leo Guo:
AI-Fuzzy Markup Language with Computational Intelligence for High-School Student Learning. - Yong-Bin Kang, Abdur Rahim Mohammad Forkan
, Prem Prakash Jayaraman, Natalie Wieland, Elizabeth Kollias, Hung Du, Steven Thomson, Yuan-Fang Li:
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers. - Jiyoung Shin, Yikuan Li, Yuan Luo:
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. - Xuli Tang, Xin Li, Feicheng Ma:
Internationalizing AI: Evolution and Impact of Distance Factors. - Sanmay Das:
Local Justice and the Algorithmic Allocation of Societal Resources. - Vincent Schlatt, Johannes Sedlmeir, Simon Feulner, Nils Urbach:
Designing a Framework for Digital KYC Processes Built on Blockchain-Based Self-Sovereign Identity. - Kyle McDonald:
Ethereum Emissions: A Bottom-up Estimate. - Rohith Dwarakanath Vallam, Priyanka Bhatt, Debmalya Mandal, Y. Narahari:
Improving Teacher-Student Interactions in Online Educational Forums using a Markov Chain based Stackelberg Game Model. - Iuliana Marin:
A Neuroscience Approach regarding Student Engagement in the Classes of Microcontrollers during the COVID19 Pandemic. - Premalatha M, Suganya G, Viswanathan V, G. Jignesh Chowdary:
Course Difficulty Estimation Based on Mapping of Bloom's Taxonomy and ABET Criteria. - María Pérez-Ortiz, Erik Novak, Sahan Bulathwela, John Shawe-Taylor:
An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All. - Luis M. Vaquero, Niall Twomey, Miguel Patricio Dias, Massimo Camplani, Robert Hardman:
Towards Continuous Compounding Effects and Agile Practices in Educational Experimentation. - Linta Islam, Mafizur Rahman, Nabila Ahmad, Tasnia Sharmin, Jannatul Ferdous Sorna:
A Crowdsourced Contact Tracing Model to Detect COVID-19 Patients using Smartphones. - Aaditya Bhusal:
Predicting Student's Performance Through Data Mining. - Rushit Dave, Naeem Seliya, Nyle Siddiqui:
The Benefits of Edge Computing in Healthcare, Smart Cities, and IoT. - Miguel Angel Calvache, Valeria Cardona, Sebastian Tapias, Simon Marin, Mauricio Toro:
Health Detection on Cattle Compressed Images in Precision Livestock Farming. - Susannah Kate Devitt, Damian Copeland:
Australia's Approach to AI Governance in Security and Defence. - Ruigang Wang, Ian R. Manchester:
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. - Jihun Han, Yoonsang Lee:
Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks. - Qianqian Gu:
Simulation Method Of Cabin Oil Leakage Into Water In Case Of Accidental Oil Spill. - Dimitrios S. Karachalios, Ion Victor Gosea, Athanasios C. Antoulas:
A framework for fitting quadratic-bilinear systems with applications to models of electrical circuits. - Sina Gholamian, Paul A. S. Ward:
Borrowing from Similar Code: A Deep Learning NLP-Based Approach for Log Statement Automation. - Jingyi Feng, Yong Luo, Shuang Song:
ViF-SD2E: A Robust Weakly-Supervised Method for Neural Decoding. - Tianze Chen, Adheesh Shenoy, Anzhelika Kolinko, Syed Shah, Yu Sun:
Multi-Object Grasping - Estimating the Number of Objects in a Robotic Grasp. - David S. Smith:
RawArray: A Simple, Fast, and Extensible Archival Format for Numeric Data. - Mustafa Safa Özdayi, Murat Kantarcioglu:
The Impact of Data Distribution on Fairness and Robustness in Federated Learning. - Ezekiel J. Maier:
Advancing Artificial Intelligence and Machine Learning in the U.S. Government Through Improved Public Competitions. - Carlos Medel-Ramírez, Hilario Medel-López, Jennifer Lara-Mérida:
(SARS-CoV-2) COVID 19: Genomic surveillance and evaluation of the impact on the population speaker of indigenous language in Mexico. - Aleksandra Urman, Mykola Makhortykh, Roberto Ulloa, Juhi Kulshrestha:
Where the Earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results. - Kai Cui, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. - Claudio S. Pinhanez:
Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI. - Anna Felländer, Jonathan Rebane, Stefan Larsson, Mattias Wiggberg, Fredrik Heintz:
Achieving a Data-driven Risk Assessment Methodology for Ethical AI. - Minjing Shi, Pengfei He, Yuli Shi:
Detecting Extratropical Cyclones of the Northern Hemisphere with Single Shot Detector. - Martin Eigel, Nando Farchmin, Sebastian Heidenreich, Philipp Trunschke:
Adaptive non-intrusive reconstruction of solutions to high-dimensional parametric PDEs. - Arnaud Fanthomme, Francesca Rizzato, Simona Cocco, Rémi Monasson:
Optimal regularizations for data generation with probabilistic graphical models. - Ashraf Elnagar, Imad Afyouni, Ismail Shahin, Ali Bou Nassif, Said A. Salloum:
The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN. - Luciano Cavalcante Siebert, Maria Luce Lupetti, Evgeni Aizenberg, Niek Beckers, Arkady Zgonnikov, Herman Veluwenkamp, David A. Abbink, Elisa Giaccardi, Geert-Jan Houben, Catholijn M. Jonker, Jeroen van den Hoven, Deborah Forster, Reginald L. Lagendijk:
Meaningful human control over AI systems: beyond talking the talk. - Sanjay Kariyappa, Moinuddin K. Qureshi:
Gradient Inversion Attack: Leaking Private Labels in Two-Party Split Learning. - Graham Wild, Glenn Baxter, Pannarat Srisaeng, Steven Richardson:
Machine Learning for Air Transport Planning and Management. - Piergiorgio Castioni, Giulia Andrighetto, Riccardo Gallotti, Eugenia Polizzi, Manlio De Domenico:
The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing. - Preetha S, Sheela S. V:
Security Monitoring System Using FaceNet For Wireless Sensor Network. - Ghassan Samara
, Mohammad A. Hassan, Yahya Zayed:
An Intelligent Vice Cluster Head Election Protocol in WSN. - Zhongyun Hu, Ntumba Elie Nsampi, Xue Wang, Qing Wang:
NeurSF: Neural Shading Field for Image Harmonization. - Christoph Derks, Daniel Strüber, Thorsten Berger:
A Generator Framework For Evolving Variant-Rich Software. - Junha Lee, Christopher B. Choy, Jaesik Park:
Putting 3D Spatially Sparse Networks on a Diet. - Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam:
Monolith to Microservices: Representing Application Software through Heterogeneous GNN. - Anas Osman, Usman Abid, Luca Gemma, Matteo Perotto, Davide Brunelli:
TinyML Platforms Benchmarking. - Tomasz Imielinski:
Lists of Top Artists to Watch computed algorithmically. - Vince Kurtz, Hai Lin:
A More Scalable Mixed-Integer Encoding for Metric Temporal Logic. - Yiwen Zhu, Zhou Fang, Yuan Zheng, Wenya Wei:
Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat. - Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith:
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. - Jia-Yan Wu, Alexander Te-Wei Shieh, Shih-Ju Hsu, Yun-Nung Chen:
Towards Generating Citation Sentences for Multiple References with Intent Control. - Chenghua Liu, Zhuolin Liao, Yixuan Ma, Kun Zhan:
Stationary Diffusion State Neural Estimation for Multiview Clustering. - Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan:
Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization. - Xinwei Yue, Jin Xie, Yuanwei Liu, Zhihao Han, Rongke Liu, Zhiguo Ding:
Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface Assisted NOMA Networks. - Marek Klonowski, Dariusz R. Kowalski, Dominik Pajak:
Generalized Framework for Group Testing: Queries, Feedbacks and Adversaries. - Tatiana Shavrina, Valentin Malykh:
How not to Lie with a Benchmark: Rearranging NLP Leaderboards. - Jhuma Sen Gupta:
A Priori Error Bounds for Parabolic Interface Problems with Measure Data. - Ching-Yu Tseng, Po-Shao Lin, Yu-Jia Liou, Kuan-Chih Huang, Winston H. Hsu:
3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion Prediction. - Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu:
MegBA: A High-Performance and Distributed Library for Large-Scale Bundle Adjustment. - Marko Jereminov, Larry T. Pileggi
:
Equivalent Circuit Programming for Power Flow Analysis and Optimization. - Davide La Torre, Danilo Liuzzi, Marco Repetto, Matteo Rocca:
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets. - Gledson Melotti, W. Lu, Dezong Zhao, Alireza Asvadi, Nuno Gonçalves, Cristiano Premebida:
Probabilistic Approach for Road-Users Detection. - Lokesh Bommisetty, T. G. Venkatesh:
Phasic Policy Gradient Based Resource Allocation for Industrial Internet of Things. - Mark W. Lohry:
Tesselating a Pascal-like tetrahedron for the subdivision of high order tetrahedral finite elements. - Antonio Elia Forte, David Melancon, Leon M. Kamp, Benjamin Gorissen, Katia Bertoldi:
MuA-Ori: Multimodal Actuated Origami. - Mohammad Azangoo, Amir Taherkordi, Jan Olaf Blech, Valeriy Vyatkin:
Digital Twin-Assisted Controlling of AGVs in Flexible Manufacturing Environments. - Huaishao Luo, Lei Ji, Yanyong Huang, Bin Wang, Shenggong Ji, Tianrui Li:
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors. - Vidya Samadi:
Flood Analytics Information System (FAIS) Version 4.00 Manual. - Matthew T. Osborne, Samuel S. Malloy, Erik C. Nisbet, Robert M. Bond, Joseph H. Tien:
Sentinel node approach to monitoring online COVID-19 misinformation. - Ali Hojjat, Ghazaleh Haddad:
A New Approach to Detect Important Members that Create the Communities in Bipartite Networks. - Marc Finzi, Gregory W. Benton, Andrew Gordon Wilson:
Residual Pathway Priors for Soft Equivariance Constraints. - Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang:
InsCLR: Improving Instance Retrieval with Self-Supervision. - Stephen Chou, Saman P. Amarasinghe:
Dynamic Sparse Tensor Algebra Compilation. - Philipp Klaus Krause:
Efficient Calling Conventions for Irregular Architectures. - Tan M. Dinh, Rang Nguyen, Binh-Son Hua:
TISE: A Toolbox for Text-to-Image Synthesis Evaluation. - Ujjwal Thakur, Anuj Sharma:
Newton methods based convolution neural networks using parallel processing. - Dipika Singhania, Rahul Rahaman, Angela Yao:
Iterative Contrast-Classify For Semi-supervised Temporal Action Segmentation. - Ningyu Zhang, Hongbin Ye, Jiacheng Yang, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen:
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training. - Stefán Páll Sturluson, Samuel Trew, Luis Muñoz-González, Matei Grama, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary:
FedRAD: Federated Robust Adaptive Distillation. - Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang:
Active Learning for Domain Adaptation: An Energy-based Approach. - Chenyu Wu, Changsheng You, Yuanwei Liu, Xuemai Gu, Yunlong Cai:
Channel Estimation for STAR-RIS-aided Wireless Communication. - Matthew Stevenson, Christophe Mues, Cristián Bravo:
Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction. - Jichao Zhang, Enver Sangineto, Hao Tang, Aliaksandr Siarohin, Zhun Zhong, Nicu Sebe, Wei Wang:
3D-Aware Semantic-Guided Generative Model for Human Synthesis. - Fartash Faghri:
Training Efficiency and Robustness in Deep Learning. - Hrishikesh Sharma, Prakhar Pradhan, Balamuralidhar Purushothaman:
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation. - Wei Zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu:
Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. - Yuankai Teng, Zhu Wang, Lili Ju, Anthony D. Gruber, Guannan Zhang:
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation. - Rudrashis Majumder, Rakesh R. Warier, Debasish Ghose:
Game-Theoretic Model Based Resource Allocation During Floods. - Paolo Pareti, George Konstantinidis:
A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs. - Junsheng Kong, Weizhao Li, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Jinhui Zhu, Shengyu Zhang:
Learning Large-scale Network Embedding from Representative Subgraph. - Alexander Neuwirth, Derek Riley:
Architecting and Visualizing Deep Reinforcement Learning Models. - Hassan Saber, Pierre Ménard, Odalric-Ambrym Maillard:
Indexed Minimum Empirical Divergence for Unimodal Bandits. - Vincent Roulet, Zaïd Harchaoui:
Target Propagation via Regularized Inversion. - Mohammad Imrul Jubair, Md. Masud Rana, Md. Amir Hamza, Mohsena Ashraf, Fahim Ahsan Khan, Ahnaf Tahseen Prince:
Altering Facial Expression Based on Textual Emotion. - Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole:
Zero-Shot Text-Guided Object Generation with Dream Fields. - Yu Tian, Renaud Lambiotte:
Unifying Diffusion Models on Networks and Their Influence Maximisation. - Alexandre Obadia, Alejo Salles, Lakshman Sankar, Tarun Chitra, Vaibhav Chellani, Philip Daian:
Unity is Strength: A Formalization of Cross-Domain Maximal Extractable Value. - Julian Ost, Issam H. Laradji, Alejandro Newell, Yuval Bahat, Felix Heide:
Neural Point Light Fields. - Markus Bachmayr, Anthony Nouy, Reinhold Schneider:
Approximation by tree tensor networks in high dimensions: Sobolev and compositional functions. - Niket Sharma, Y. A. Liu:
A Hybrid Science-Guided Machine Learning Approach for Modeling and Optimizing Chemical Processes. - Seoyeon Park, Jishnu Ray Chowdhury, Tuhin Kundu, Cornelia Caragea:
KPDrop: An Approach to Improving Absent Keyphrase Generation. - Achintya Gopal:
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning. - Sourya Roy, Kyle Min, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar:
Learning Spatial-Temporal Graphs for Active Speaker Detection. - Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang:
Safe Reinforcement Learning for Grid Voltage Control. - Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia:
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. - Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely:
Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image. - Kelvin Kwakye, Emmanuel Dadzie:
Machine Learning-Based Classification Algorithms for the Prediction of Coronary Heart Diseases. - Mikolaj Czerkawski, Javier Cardona, Robert C. Atkinson, W. Craig Michie, Ivan Andonovic, Carmine Clemente, Christos Tachtatzis:
Neural Weight Step Video Compression. - Kishan Panaganti, Dileep Kalathil:
Sample Complexity of Robust Reinforcement Learning with a Generative Model. - Jyothish Pari, Nur Muhammad Shafiullah, Sridhar Pandian Arunachalam, Lerrel Pinto:
The Surprising Effectiveness of Representation Learning for Visual Imitation. - Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah:
OW-DETR: Open-world Detection Transformer. - Kanchana Ranasinghe, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan, Michael S. Ryoo:
Self-supervised Video Transformer. - Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin:
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation. - Omri Avrahami, Bar Tamir:
Ownership and Creativity in Generative Models. - Haotong Lin, Sida Peng, Zhen Xu, Hujun Bao, Xiaowei Zhou:
Efficient Neural Radiance Fields with Learned Depth-Guided Sampling. - Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu:
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. - Shengyi Qian, Alexander Kirillov, Nikhila Ravi, Devendra Singh Chaplot, Justin Johnson, David F. Fouhey, Georgia Gkioxari:
Recognizing Scenes from Novel Viewpoints. - Enis Simsar, Evin Pinar Örnek
, Fabian Manhardt, Helisa Dhamo, Nassir Navab, Federico Tombari:
Object-aware Monocular Depth Prediction with Instance Convolutions. - Xizhou Zhu, Jinguo Zhu, Hao Li, Xiaoshi Wu, Xiaogang Wang, Hongsheng Li, Xiaohua Wang, Jifeng Dai:
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. - Benjamin Attal, Jia-Bin Huang, Michael Zollhöfer, Johannes Kopf, Changil Kim:
Learning Neural Light Fields with Ray-Space Embedding Networks. - Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz:
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. - Utkarsh Singhal, Yifei Xing, Stella X. Yu:
Co-domain Symmetry for Complex-Valued Deep Learning. - Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
Improved Multiscale Vision Transformers for Classification and Detection. - Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. - Zhiqiang Shen, Eric P. Xing:
A Fast Knowledge Distillation Framework for Visual Recognition. - Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan:
BEVT: BERT Pretraining of Video Transformers. - Lukas Höllein, Justin Johnson, Matthias Nießner:
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. - Brittany Wills, Christina Isaicu, Heather von Stackelberg, Lujain Ibrahim, Matthew Hutson, Mitchel Fleming, Nanditha Narayanamoorthy, Samuel Curtis, Shreyasha Paudel, Sofía Trejo, Tiziana Zevallos, Victoria Martín del Campo, Wilson Lee:
The MAIEI Learning Community Report. - Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown:
Improving mathematical questioning in teacher training. - Yeshayahu Weiss:
Testing Reactive Systems Using Behavioural Programming, a Model Centric Approach. - Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang:
D3Net: A Speaker-Listener Architecture for Semi-supervised Dense Captioning and Visual Grounding in RGB-D Scans. - Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. - Ayesha Siddique, Khaza Anuarul Hoque:
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? - Ryan Wickman, Xiaofei Zhang, Weizi Li:
SparRL: Graph Sparsification via Deep Reinforcement Learning. - Gautham Bekal, Mohammad Bari:
Theoretical Analysis of an XGBoost Framework for Product Cannibalization. - Mohsen Rezaie, Nicolas Saunier:
Trajectory Clustering Performance Evaluation: If we know the answer, it's not clustering. - Abu Reyan Ahmed, Felice De Luca, Sabin Devkota, Stephen G. Kobourov, Mingwei Li:
Multicriteria Scalable Graph Drawing via Stochastic Gradient Descent, (SGD)2. - Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu:
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization. - Benjamin Poole, Minwoo Lee:
Towards Intrinsic Interactive Reinforcement Learning: A Survey. - Rahul Vaze, Santanu Rathod:
Scheduling to Learn In An Unsupervised Online Streaming Model. - Sebastian Weiss, Philipp Hermüller, Rüdiger Westermann:
Fast Neural Representations for Direct Volume Rendering. - Eman Abdullah AlOmar, Jiaqian Liu, Kenneth Addo, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni, Zhe Yu:
On the Documentation of Refactoring Types. - Jhoan Keider Hoyos-Osorio, Oscar Skean, Austin J. Brockmeier, Luis Gonzalo Sánchez Giraldo:
The Representation Jensen-Rényi Divergence. - Cayden Pierce, Steve Mann:
Wearable Affective Memory Augmentation. - Paul Luyo, Evrard Garcelon, Alessandro Lazaric, Matteo Pirotta:
Differentially Private Exploration in Reinforcement Learning with Linear Representation. - Sam Foreman
, Taku Izubuchi, Luchang Jin
, Xiao-Yong Jin
, James C. Osborn
, Akio Tomiya:
HMC with Normalizing Flows. - Pierre Colombo, Chloé Clavel, Pablo Piantanida:
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. - Sumon Biswas
, Mohammad Wardat, Hridesh Rajan:
The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. - André Seidel Oliveira, Anna Helena Reali Costa:
PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites. - Spyros Angelopoulos, Shahin Kamali
, Dehou Zhang:
Online Search With Best-Price and Query-Based Predictions. - Joseph W. N. Paulus, Daniele Nantes-Sobrinho, Jorge A. Pérez:
Types and Terms Translated: Unrestricted Resources in Encoding Functions as Processes (Extended Version). - Xiao Ling, Tim Menzies:
Faster Multi-Goal Simulation-Based Testing Using DoLesS (Domination with Least Square Approximation). - Peter Lorenz, Dominik Strassel, Margret Keuper, Janis Keuper:
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? - Hugo Latapie, Özkan Kiliç, Kristinn R. Thórisson, Pei Wang, Patrick Hammer:
Neurosymbolic Systems of Perception & Cognition: The Role of Attention. - John C. Butcher, Helmut Podhaisky:
Isomeric trees and the order of Runge-Kutta methods. - Fan Jiang, Andrew Marmon, Ildebrando De Courten, Marc Rasi, Frank Dellaert:
Probabilistic Tracking with Deep Factors. - Wojciech Giernacki, Krzysztof Lakomy, Jacek Michalski, Rafal Madonski:
Active Disturbance Rejection Control (ADRC) Toolbox for MATLAB/Simulink. - Chenxiao Liu, Guanzhi Deng, Tao Ji, Difei Tang, Silai Zheng:
Evaluator for Emotionally Consistent Chatbots. - Kecia Gomes de Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti:
Label noise detection under the Noise at Random model with ensemble filters. - Caroline Baker, Marcial Gonzalez:
Time integrator based on rescaled Rodrigues parameters. - Byunghyun Ban:
A Survey on Awesome Korean NLP Datasets. - Samuel C. Hoffman, Vijil Chenthamarakshan, Dmitry Yu. Zubarev, Daniel P. Sanders, Payel Das:
Sample-Efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model. - Kel Levick, Reinhard Heckel, Ilan Shomorony:
Achieving the Capacity of a DNA Storage Channel with Linear Coding Schemes. - Jorge Cisneros, Bernard Deconinck:
The numerical solution of semidiscrete linear evolution problems on the finite interval using the Unified Transform Method. - Cécilia Tarpau, Javier Cebeiro, Geneviève Rollet, Maï K. Nguyen, Laurent Dumas:
An analytical reconstruction formula with efficient implementation for a modality of Compton Scattering Tomography with translational geometry. - Sara Moshtari, Ahmet Okutan, Mehdi Mirakhorli:
A Grounded Theory Based Approach to Characterize Software Attack Surfaces. - Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar:
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. - David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi:
LongChecker: Improving scientific claim verification by modeling full-abstract context. - Mohammad Asif Khan, Amos J. Storkey:
Hamiltonian Operator Disentanglement of Content and Motion in Image Sequences. - Shen Li, Jianqing Xu, Bryan Hooi:
Probabilistic Contrastive Loss for Self-Supervised Learning. - Alvine Boaye Belle, Ghizlane El-Boussaidi, Timothy C. Lethbridge, Segla Kpodjedo, Hafedh Mili, Andrés Paz:
Systematically reviewing the layered architectural pattern principles and their use to reconstruct software architectures. - James R. Wootton, Marcel Pfaffhauser:
Investigating the usefulness of Quantum Blur. - Fernando Granha Jeronimo, Tushant Mittal, Ryan O'Donnell, Pedro Paredes, Madhur Tulsiani:
Explicit Abelian Lifts and Quantum LDPC Codes. - Zhiyuan Liu, Chuanzheng Sun, Yuxin Jiang, Shiqi Jiang, Mei Ming:
Multi-modal application: Image Memes Generation. - Stephen Longofono, Seyed Mohammad Seyedzadeh, Alex K. Jones:
Virtual Coset Coding for Encrypted Non-Volatile Memories with Multi-Level Cells. - Xinwei Du, Kailun Dong, Yuchen Zhang, Yongsheng Li, Ruei-Yu Tsay:
The Influence of Data Pre-processing and Post-processing on Long Document Summarization. - Pouneh Nikkhah Bahrami, Umar Iqbal, Zubair Shafiq:
FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting. - Zekun Li, Yao-Yi Chiang, Sasan Tavakkol, Basel Shbita, Johannes H. Uhl, Stefan Leyk, Craig A. Knoblock:
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images. - Meet P. Vadera, Benjamin M. Marlin:
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems. - Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You:
TransZero: Attribute-guided Transformer for Zero-Shot Learning. - Yichen Zhu, Yuqin Zhu, Jie Du, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang:
Make A Long Image Short: Adaptive Token Length for Vision Transformers. - Loc Truong, WoongJo Choi, Colby Wight, Lizzy Coda, Tegan Emerson, Keerti Kappagantula, Henry Kvinge
:
Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing. - Nicholas Polosky, Tyler Gwin, Sean Furman, Parth Barhanpurkar, Jithin Jagannath:
Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU. - Ruigang Shen, Qianru Zhang, Benzhuo Lu:
An inverse averaging finite element method for solving the size-modified Poisson-Nernst-Planck equations in ion channel simulations. - Orhun Gorkem, Haluk O. Bingol:
Optimism brings accurate perception in Iterated Prisoner's Dilemma. - Pranjal Awasthi, Natalie S. Frank, Mehryar Mohri:
On the Existence of the Adversarial Bayes Classifier (Extended Version). - Xiang Li, Jinglu Wang, Xiao Li, Yan Lu:
Hybrid Instance-aware Temporal Fusion for Online Video Instance Segmentation. - Chunyue Lv, Lei Wang, Chenming Xie:
A hybrid physics-informed neural network for nonlinear partial differential equation. - Ziwang Fu, Feng Liu, Hanyang Wang, Siyuan Shen, Jiahao Zhang, Jiayin Qi, Xiangling Fu, Aimin Zhou:
LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences. - Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko:
Learning to Detect Every Thing in an Open World. - Gobinda Garai, Bankim C. Mandal:
Convergence of substructuring Methods for the Cahn-Hilliard Equation. - Euiwoong Lee, Viswanath Nagarajan, Lily Wang:
On Some Variants of Euclidean K-Supplier. - Honglu Jiang, Yifeng Gao, S. M. Sarwar, Luis GarzaPerez, Mahmudul Robin:
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity. - Xiaotian Lin, Nankai Lin, Kanoksak Wattanachote, Shengyi Jiang, Lianxi Wang:
Multilingual Text Classification for Dravidian Languages. - Kuan-Yu Chiang, Shihao Lin, Joe Chen, Qian Yin, Qizhen Jin:
TransCouplet: Transformer based Chinese Couplet Generation. - Ruisi Zhang, Ashkan Pourkand:
Emergency-braking Distance Prediction using Deep Learning. - Euiwoong Lee, Pengxiang Wang:
Strong Hardness of Approximation for Tree Transversals. - Fengting Yang, Xiaolei Huang, Zihan Zhou:
Deep Depth from Focus with Differential Focus Volume. - Xuejun Han, Yuhong Guo:
Contrastive Continual Learning with Feature Propagation. - Yang Li, Yuichi Tanaka:
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks. - Peri Akiva, Matthew Purri, Matthew J. Leotta:
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks. - Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster:
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. - Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel:
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents. - Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi:
Adaptive Poincaré Point to Set Distance for Few-Shot Classification. - Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin:
Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. - James Lee Hu, Mohammadreza Ebrahimi, Hsinchun Chen:
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach. - Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng:
Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset). - Yongri Piao, Jian Wang, Miao Zhang, Huchuan Lu:
MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection. - Yunsoo Kim, Hyun Myung:
Gesture Recognition with a Skeleton-Based Keyframe Selection Module. - Shiwen He, Jun Yuan, Zhenyu An, Wei Huang, Yongming Huang, Yaoxue Zhang:
Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems. - Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian A. Scherer:
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration. - Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman:
Frame Averaging for Equivariant Shape Space Learning. - Shaily Desai, Atharva Kshirsagar, Manisha Marathe:
Multitask Finetuning for Improving Neural Machine Translation in Indian Languages. - Qi Zhang, Rongxia Tang, Zhengan Yao, Zanbo Zhang, Jun Liang:
A Parallel PageRank Algorithm For Undirected Graph. - Jie Zhu, Huabin Huang, Banghuai Li, Yong Liu, Leye Wang:
MSP : Refine Boundary Segmentation via Multiscale Superpixel. - Maximilian Arnold, Maximilian Bauhofer, Silvio Mandelli, Marcus Henninger, Frank Schaich, Thorsten Wild, Stephan ten Brink:
MaxRay: A Raytracing-based Integrated Sensing and Communication Framework. - Zeming Chen, Qiyue Gao:
Probing Linguistic Information For Logical Inference In Pre-trained Language Models. - Yuting Yang, Binbin Du, Yingxin Zhang, Wenxuan Wang, Yuke Li:
BBS-KWS: The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge. - Chen Wang, Xian Wu, Yuan-Chen Guo, Song-Hai Zhang, Yu-Wing Tai, Shi-Min Hu:
NeRF-SR: High-Quality Neural Radiance Fields using Super-Sampling. - Shuwei Zhang, Maiqi Tang, Qingyang Zhang, Yucan Luo, Yuhui Zou:
Given Users Recommendations Based on Reviews on Yelp. - Ritesh Kumar, Shiv Bhusan Kaushik, Pinkey Nainwani, Girish Nath Jha:
Creating and Managing a large annotated parallel corpora of Indian languages. - Ju-Hyung Lee, Hyowoon Seo, Jihong Park,