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ORCIDCoRR, September 2021
- Federico Landi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara:
Working Memory Connections for LSTM. - Samantha D'Alonzo, Max Tegmark:
Machine-Learning media bias. - Jéssica Rodrigues da Silva, Helena de Medeiros Caseli:
Sense representations for Portuguese: experiments with sense embeddings and deep neural language models. - Daniella Bar-Lev, Itai Orr, Omer Sabary, Tuvi Etzion, Eitan Yaakobi:
Deep DNA Storage: Scalable and Robust DNA Storage via Coding Theory and Deep Learning. - Roman Shapovalov, David Novotný, Benjamin Graham, Patrick Labatut, Andrea Vedaldi:
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. - Matjaz Krnc, Nevena Pivac:
Graphs where Search Methods are Indistinguishable. - Mees van de Kerkhof, Irina Kostitsyna, Maarten Löffler:
Embedding Ray Intersection Graphs and Global Curve Simplification. - Vinicius dos Santos, Anderson Yoshiaki Iwazaki, Kátia Romero Felizardo, Érica Ferreira de Souza, Elisa Yumi Nakagawa:
Towards Sustainability of Systematic Literature Reviews. - Ivan Montero, Nikolaos Pappas, Noah A. Smith:
Sentence Bottleneck Autoencoders from Transformer Language Models. - Guangyu Du, Lei Dong, Fabio Duarte, Carlo Ratti:
Wanderlust: 3D Impressionism in Human Journeys. - Alec J. Linot, Michael D. Graham:
Data-Driven Reduced-Order Modeling of Spatiotemporal Chaos with Neural Ordinary Differential Equations. - Negar Arabzadeh, Alexandra Vtyurina, Xinyi Yan, Charles L. A. Clarke:
Shallow pooling for sparse labels. - Maxine Major, Brian Souza, Joseph DiVita, Kimberly Ferguson-Walter:
Informing Autonomous Deception Systems with Cyber Expert Performance Data. - Olivia Eriksson, Andrei Kramer, Federica Milinanni, Pierre Nyquist:
Sensitivity Approximation by the Peano-Baker Series. - Chantal Mutimukwe
, Jean Damascene Twizeyimana, Olga Viberg:
Students' Information Privacy Concerns in Learning Analytics: Towards a Model Development. - Ulrich A. Brodowsky, Stefan Hougardy, Xianghui Zhong:
The Approximation Ratio of the k-Opt Heuristic for the Euclidean Traveling Salesman Problem. - Soumyendu Sarkar:
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture. - Xingdi Yuan:
Interactive Machine Comprehension with Dynamic Knowledge Graphs. - Nathaniel Kell, Kevin Sun:
Primal-Dual Algorithms for Indivisible Concave Allocation with Bounded Local Curvature. - Jan Kopanski, Krzysztof Rzadca:
Plan-based Job Scheduling for Supercomputers with Shared Burst Buffers. - Alexey Svyatkovskiy, Todd Mytkowicz, Negar Ghorbani, Sarah Fakhoury, Elizabeth Dinella, Christian Bird, Neel Sundaresan, Shuvendu K. Lahiri:
MergeBERT: Program Merge Conflict Resolution via Neural Transformers. - Tuhin Chakrabarty, Yejin Choi, Vered Shwartz:
It's not Rocket Science : Interpreting Figurative Language in Narratives. - Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof, Eran Treister:
Quantized convolutional neural networks through the lens of partial differential equations. - Tobias Fischer:
Bio-inspired robot perception coupled with robot-modeled human perception. - Youssef Elkharaz, Saad Motahhir, Abdelaziz El Ghzizal:
Comparison between autosar platforms with functional safety for automotive software architectures. - Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi:
Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. - Maria Kalantzi, George Karypis:
Position-based Hash Embeddings For Scaling Graph Neural Networks. - Madhurananda Pahar, Igor D. S. Miranda, Andreas H. Diacon, Thomas Niesler:
Automatic non-invasive Cough Detection based on Accelerometer and Audio Signals. - Ramin Nateghi, Fattaneh Pourakpour:
Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images. - Kunhao Zheng, Jesse Michael Han, Stanislas Polu:
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics. - Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan, Radomír Mech, Tamy Boubekeur, Niloy J. Mitra:
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds. - Keumgang Cha, Junghoon Seo, Yeji Choi:
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation. - Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Kenneth Huang, Bryan R. Routledge, William Yang Wang:
FinQA: A Dataset of Numerical Reasoning over Financial Data. - Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Wu Zhang, Zhisong Pan:
DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors. - Qipin Chen, Wenrui Hao, Juncai He:
A Weight Initialization Based on the Linear Product Structure for Neural Networks. - Mohammadamin Atashi, Mohammad Salimibeni, Arash Mohammadi:
Online Dynamic Window (ODW) Assisted Two-stage LSTM Frameworks for Indoor Localization. - Mark K. Ho, Thomas L. Griffiths:
Cognitive science as a source of forward and inverse models of human decisions for robotics and control. - Yuanyi Sun, Sencun Zhu, Yao Zhao, Pengfei Sun:
Let Your Camera See for You: A Novel Two-Factor Authentication Method against Real-Time Phishing Attacks. - Zeyu Ding, Shogo Yoshida, Toby Chong, Tsukasa Fukusato, Takuma Torii, Haoran Xie:
AugLimb: Compact Robotic Limb for Human Augmentation. - Gongsheng Yuan, Jiaheng Lu, Peifeng Su:
Quantum-Inspired Keyword Search on Multi-Model Databases. - Gongsheng Yuan, Jiaheng Lu:
MORTAL: A Tool of Automatically Designing Relational Storage Schemas for Multi-model Data through Reinforcement Learning. - Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson:
Implicit Behavioral Cloning. - Fengbin Zhang, Haoyi Fan, Ruidong Wang, Zuoyong Li, Tiancai Liang:
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks. - Gongsheng Yuan, Jiaheng Lu, Shuxun Zhang, Zhengtong Yan:
Storing Multi-model Data in RDBMSs based on Reinforcement Learning. - Ozgenur Kavas-Torris, Sukru Yaren Gelbal, Mustafa Ridvan Cantas, Bilin Aksun Güvenç, Levent Güvenç:
V2X Communication Between Connected and Automated Vehicles (CAVs) and Unmanned Aerial Vehicles (UAVs). - Keran Ye, Konstantinos Karydis:
Modeling and Trajectory Optimization for Standing Long Jumping of a Quadruped with A Preloaded Elastic Prismatic Spine. - Sean M. Hendryx, Dharma Raj KC, Bradley Walls, Clayton T. Morrison:
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning. - Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala:
Asynchronous Federated Learning for Sensor Data with Concept Drift. - Baihua Shi, Qijuan Jie, Feng Shu, Zhihong Zhuang, Siling Feng, Yijin Zhang, Jiangzhou Wang:
DOA Estimation Using Massive Receive MIMO: Basic Principles, Key Techniques, Performance Analysis, and Applications. - Susan Amin, Maziar Gomrokchi, Harsh Satija, Herke van Hoof, Doina Precup:
A Survey of Exploration Methods in Reinforcement Learning. - Sean Y. Hon, Haizhao Yang:
Simultaneous Neural Network Approximations in Sobolev Spaces. - Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu:
Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Faces. - Xinyu Lu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu:
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages. - Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng:
Architecture Aware Latency Constrained Sparse Neural Networks. - Biyang Guo, Songqiao Han, Hailiang Huang:
What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification. - Yongfeng Zhang:
Problem Learning: Towards the Free Will of Machines. - Siyuan Huang, Yichen Xie, Song-Chun Zhu, Yixin Zhu:
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. - Chenyang Le, Jiebin Yan, Yuming Fang, Kede Ma:
Perceptually Optimized Deep High-Dynamic-Range Image Tone Mapping. - Hang Li, Yu Kang, Tianqiao Liu, Wenbiao Ding, Zitao Liu:
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations. - Haiping Wang, Yuan Liu, Zhen Dong, Wenping Wang, Bisheng Yang:
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors. - Marcus A. Pereira, Camilo A. Duarte, Ioannis Exarchos, Evangelos A. Theodorou:
Deep L1 Stochastic Optimal Control Policies for Planetary Soft-landing. - Liyan Xu, Jinho D. Choi:
Adapted End-to-End Coreference Resolution System for Anaphoric Identities in Dialogues. - Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi:
Evaluating Predictive Uncertainty under Distributional Shift on Dialogue Dataset. - Anuj Dubey, Rosario Cammarota, Vikram B. Suresh, Aydin Aysu:
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks. - Juncai He, Lin Li, Jinchao Xu:
Approximation Properties of Deep ReLU CNNs. - Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi:
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. - Zhenge Zhao, Danilo Motta, Matthew Berger, Joshua A. Levine, Ismail B. Kuzucu, Robert B. Fleischman, Afonso Paiva, Carlos Scheidegger:
STFT-LDA: An Algorithm to Facilitate the Visual Analysis of Building Seismic Responses. - Benzar Glen Grepon, Niño T. Baran, Kenn Migan Vincent C. Gumonan, Aldwin Lester M. Martinez, Mona Liel E. Lacsa:
Designing and Implementing e-School Systems: An Information Systems Approach to School Management of a Community College in Northern Mindanao, Philippines. - Jennifer D'Souza, Sören Auer:
Pattern-based Acquisition of Scientific Entities from Scholarly Article Titles. - Ziqi Chai, Xiaoyu Shi, Yan Zhou, Zhenhua Xiong:
A real-time global re-localization framework for 3D LiDAR SLAM. - Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador Garcia:
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification. - Joo Hun Yoo, Hyejun Jeong, Jaehyeok Lee, Tai-Myoung Chung:
Federated Learning: Issues in Medical Application. - Pankaj Mishra, Ahmed Moustafa, Takayuki Ito:
Fairness based Multi-Preference Resource Allocation in Decentralised Open Markets. - Ze Huang, Songzhi Su, Henry Zhang, Kevin Li Sun:
EventPoint: Self-Supervised Local Descriptor Learning for Event Cameras. - Yichao Yan, Jinpeng Li, Jie Qin, Shengcai Liao, Xiaokang Yang:
Efficient Person Search: An Anchor-Free Approach. - Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu:
Diverse Sample Generation: Pushing the Limit of Data-free Quantization. - Hao Tang, Guoshuai Zhao, Yuxia Wu, Xueming Qian:
Multi-Sample based Contrastive Loss for Top-k Recommendation. - Zhenqiang Li, Weimin Wang, Zuoyue Li, Yifei Huang, Yoichi Sato:
Spatio-Temporal Perturbations for Video Attribution. - MaungMaung AprilPyone, Hitoshi Kiya:
A Protection Method of Trained CNN Model Using Feature Maps Transformed With Secret Key From Unauthorized Access. - Bharathi Raja Chakravarthi, Ruba Priyadharshini, Rahul Ponnusamy, Prasanna Kumar Kumaresan, Kayalvizhi Sampath, Durairaj Thenmozhi, Sathiyaraj Thangasamy, Rajendran Nallathambi, John Philip McCrae:
Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments. - Zhiqiang Tyler Qi, Adrián Lahuerta-Lavieja, Jingya Li, Keerthi Kumar Nagalapur:
Deployable Networks for Public Safety in 5G and Beyond: A Coverage and Interference Study. - Pengcheng Xia, Haoyu Wang, Bingyu Gao, Weihang Su, Zhou Yu, Xiapu Luo, Chao Zhang, Xusheng Xiao, Guoai Xu:
Demystifying Scam Tokens on Uniswap Decentralized Exchange. - Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization. - Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger:
Complexity Measures for Multi-objective Symbolic Regression. - Paolo Tirotta, Stefano Lodi:
OptAGAN: Entropy-based finetuning on text VAE-GAN. - He Liu, Tao Wang, Yidong Li, Congyan Lang, Yi Jin, Haibin Ling:
Joint Graph Learning and Matching for Semantic Feature Correspondence. - Pudong Ge, Fei Teng, Charalambos Konstantinou, Shiyan Hu:
A Resilience-Oriented Centralised-to-Decentralised Framework for Networked Microgrids Management. - Jixiang Zhang, Yinfei Xu:
On Age of Information for Discrete Time Status Updating System With Ber/G/1/1 Queues. - Nuri Benbarka, Timon Höfer, Hamd ul Moqeet Riaz, Andreas Zell:
Seeing Implicit Neural Representations as Fourier Series. - Liang Wang, Wei Zhao, Jingming Liu:
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast. - Tapan K. Sengupta, V. K. Suman, Prasannabalaji Sundaram, Aditi Sengupta:
Analysis of pseudo-spectral methods used for numerical simulation of turbulence. - Lingmei Bu, Li Chen, Yongmei Lu, Zhonghua Yu:
Extracting all Aspect-polarity Pairs Jointly in a Text with Relation Extraction Approach. - Chang Sun, Serge Richard, Takemasa Miyoshi:
Agent-based model and data assimilation: Analysis of COVID-19 in Tokyo. - Shenghua Hu, Jing Wang, Yujun Wang, Lidong Yang, Wenjing Yang:
A Separable Temporal Convolution Neural Network with Attention for Small-Footprint Keyword Spotting. - Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li:
Embedding and Beamforming: All-neural Causal Beamformer for Multichannel Speech Enhancement. - Ibrahim M. Alabdulmohsin, Hartmut Maennel, Daniel Keysers:
The Impact of Reinitialization on Generalization in Convolutional Neural Networks. - Pierre Marion, Pawel Krzysztof Nowak, Francesco Piccinno:
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs. - Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan:
Discovering Representation Sprachbund For Multilingual Pre-Training. - Pietro Liguori, Erfan Al-Hossami, Vittorio Orbinato, Roberto Natella, Samira Shaikh, Domenico Cotroneo, Bojan Cukic:
EVIL: Exploiting Software via Natural Language. - Jean-François Bonastre, Héctor Delgado, Nicholas W. D. Evans, Tomi Kinnunen, Kong Aik Lee, Xuechen Liu, Andreas Nautsch, Paul-Gauthier Noé, Jose Patino, Md. Sahidullah, Brij Mohan Lal Srivastava, Massimiliano Todisco, Natalia A. Tomashenko, Emmanuel Vincent, Xin Wang, Junichi Yamagishi:
Benchmarking and challenges in security and privacy for voice biometrics. - Elias Alevizos, Alexander Artikis, Georgios Paliouras:
Complex Event Forecasting with Prediction Suffix Trees: Extended Technical Report. - Siang-Yun Lee, Heinz Riener, Giovanni De Micheli:
Irredundant Buffer and Splitter Insertion and Scheduling-Based Optimization for AQFP Circuits. - Martin Haug, Felix Lorenz, Lauritz Thamsen:
GRAL: Localization of Floating Wireless Sensors in Pipe Networks. - Omid Shokrollahi, Niloofar Hashemi, Mohammad Dehghani:
Discourse Analysis of Covid-19 in Persian Twitter Social Networks Using Graph Mining and Natural Language Processing. - Huaxun Huang, Ming Wen, Lili Wei, Yepang Liu, Shing-Chi Cheung:
Characterizing and Detecting Configuration Compatibility Issues in Android Apps. - Pedro Henrique Martins, Zita Marinho, André F. T. Martins:
∞-former: Infinite Memory Transformer. - Quyu Kong, Emily Booth, Francesco Bailo, Amelia Johns, Marian-Andrei Rizoiu:
Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions. - Daniel Westerman Spier, Eduardo Prieto-Araujo, Oriol Gomis-Bellmunt, Joaquim López-Mestre:
Analytic estimation of the MMC sub-module capacitor voltage ripple for balanced and unbalanced AC grid conditions. - Tsubasa Shoshi, Takuma Ishikawa, Naoki Kobayashi, Ken Sakayori, Ryosuke Sato, Takeshi Tsukada:
Termination Analysis for the π-Calculus by Reduction to Sequential Program Termination. - Lun Luo, Si-Yuan Cao, Bin Han, Hui-Liang Shen, Junwei Li:
BVMatch: Lidar-based Place Recognition Using Bird's-eye View Images. - Jeroen Paul Spaans:
Intrinsic Argument Strength in Structured Argumentation: a Principled Approach. - Shangbei Wang:
Concurrent matching logic. - Shuai Ma, Yunqi Zhang, Hang Li, Junchang Sun, Jia Shi, Han Zhang, Chao Shen, Shiyin Li:
Covert Beamforming Design for Intelligent Reflecting Surface Assisted IoT Networks. - Taeyeop Lee, Byeong-Uk Lee, Myungchul Kim, In So Kweon:
Category-Level Metric Scale Object Shape and Pose Estimation. - Xiaomeng Xin, Yiran Zhong, Yunzhong Hou, Jinjun Wang, Liang Zheng:
Memory-Free Generative Replay For Class-Incremental Learning. - Arsha Sherly, Wolfgang Bock:
Multipatch ZIKV Model and Simulations. - Liyan Chen, Samuel Cheng, Vladimir Stankovic, Lina Stankovic:
How likely is a random graph shift-enabled? - Viswa Narayanan Sankaranarayanan:
Adaptive Controllers for Quadrotors Carrying Unknown Payloads. - Isabel Segura-Bedmar, David Camino-Perdonas, Sara Guerrero-Aspizua:
Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts. - Shiva Oswal:
The Popularity-Homophily Index: A new way to measure Homophily in Directed Graphs. - Bingcheng Zhu, Zaichen Zhang, Julian Cheng, Lei Wang, Jian Dang, Liang Wu:
Outage Analysis and Beamwidth Optimization for Positioning-Assisted Beamforming. - Evan Calabrese, Javier E. Villanueva-Meyer, Jeffrey D. Rudie, Andreas M. Rauschecker, Ujjwal Baid, Spyridon Bakas, John Mongan, Christopher Hess, Soonmee Cha:
The University of California San Francisco Preoperative Diffuse Glioma (UCSF-PDGM) MRI Dataset. - Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li:
ConRPG: Paraphrase Generation using Contexts as Regularizer. - Ruihong Qiu, Zi Huang, Hongzhi Yin:
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. - Shadab Mahboob, Koushik Kar, Jacob Chakareski:
Decentralized Collaborative Video Caching in 5G Small-Cell Base Station Cellular Networks. - Zhenchao Jin, Dongdong Yu, Kai Su, Zehuan Yuan, Changhu Wang:
Memory Based Video Scene Parsing. - Federico Franzoni, Vanesa Daza:
Clover: an Anonymous Transaction Relay Protocol for the Bitcoin P2P Network. - Yinfei Xu, Guojun Chen:
New Proofs of Extremal Inequalities With Applications. - Mudita Sharma, Tony Russell-Rose, Lina Barakat, Akitaka Matsuo:
Building a Legal Dialogue System: Development Process, Challenges and Opportunities. - Christian Antic:
Boolean proportions. - Marin Bougeret, Jérémy Omer, Michael Poss:
Optimization problems in graphs with locational uncertainty. - Cédric Foy, Antoine Deleforge, Diego Di Carlo:
Mean absorption estimation from room impulse responses using virtually supervised learning. - Nikhil Jha, Martino Trevisan, Luca Vassio, Marco Mellia:
The Internet with Privacy Policies: Measuring The Web Upon Consent. - Kengo Miyamoto, Kazumasa Shinagawa:
Graph Automorphism Shuffles from Pile-Scramble Shuffles. - Chaofan Shou, Ismet Burak Kadron, Qi Su, Tevfik Bultan:
CorbFuzz: Checking Browser Security Policies with Fuzzing. - Diogo A. P. Nunes, David Martins de Matos, Joana Ferreira-Gomes, Fani Neto:
Chronic Pain and Language: A Topic Modelling Approach to Personal Pain Descriptions. - Celyn Walters, Simon Hadfield:
EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance. - Ervan Kassarian, Francesco Sanfedino, Daniel Alazard, Charles-Antoine Chevrier, Johan Montel:
Linear Fractional Transformation modeling of multibody dynamics around parameter-dependent equilibrium. - Wei Han, Hui Chen, Soujanya Poria:
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis. - Ryo Nakahashi, Seiji Yamada:
Balancing Performance and Human Autonomy with Implicit Guidance Agent. - Yahya Hassanzadeh-Nazarabadi, Alptekin Küpçü, Öznur Özkasap:
LightChain: Scalable DHT-Based Blockchain. - Badr Youbi Idrissi, Stéphane Clinchant:
Masked Adversarial Generation for Neural Machine Translation. - Jean Goubault-Larrecq, Xiaodong Jia:
Separating minimal valuations, point-continuous valuations and continuous valuations. - Jürgen Frikel, Simon Göppel, Markus Haltmeier:
Combining reconstruction and edge detection in computed tomography. - Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang:
M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues. - Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Yu-Ru Lin:
Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. - Shuangyang Li, Weijie Yuan, Chang Liu, Zhiqiang Wei, Jinhong Yuan, Baoming Bai, Derrick Wing Kwan Ng:
A Novel ISAC Transmission Framework based on Spatially-Spread Orthogonal Time Frequency Space Modulation. - Anik Saha, Catherine Finegan-Dollak, Ashish Verma:
Position Masking for Improved Layout-Aware Document Understanding. - Hao-Chung Cheng, Baris Nakiboglu:
On the Existence of the Augustin Mean. - Roly Perera, Minh Nguyen, Tomas Petricek, Meng Wang:
Linked visualisations via Galois dependencies. - Roland Maier, Philipp Morgenstern, Thomas Takacs:
Adaptive Refinement for Unstructured T-Splines with Linear Complexity. - Ignacio Vellido-Expósito, Carlos Núñez-Molina, Vladislav Nikolov-Vasilev, Juan Fdez-Olivares:
Planning from video game descriptions. - José Luís Devezas, Sérgio Nunes:
Hypergraph-of-Entity: A General Model for Entity-Oriented Search. - Juan Pablo Borthagaray, Ricardo H. Nochetto:
Constructive approximation on graded meshes for the integral fractional Laplacian. - Chao Sun, Zhedong Zheng, Xiaohan Wang, Mingliang Xu, Yi Yang:
Point Cloud Pre-training by Mixing and Disentangling. - Jacob König, Mark David Jenkins, Mike Mannion, Peter Barrie, Gordon Morison:
A Weakly-Supervised Surface Crack Segmentation Method using Localisation with a Classifier and Thresholding. - Linda Lastrico, Alessandro Carfì, Francesco Rea, Alessandra Sciutti, Fulvio Mastrogiovanni:
From Movement Kinematics to Object Properties: Online Recognition of Human Carefulness. - Marcello Cinque, Barbara Gallina:
Fast Abstracts and Student Forum Proceedings, 17th European Dependable Computing Conference - EDCC 2021. - Eric Schares:
Unsub Extender: a Python-based web application for visualizing Unsub data. - Ruiqi Zhao, Tianyi Wu, Guodong Guo:
Sparse to Dense Motion Transfer for Face Image Animation. - Yun Chen, Lingfeng Pei, Trevor E. Carlson:
Leaking Control Flow Information via the Hardware Prefetcher. - Rabab Alkhalifa, Arkaitz Zubiaga:
Capturing Stance Dynamics in Social Media: Open Challenges and Research Directions. - Sunil Kumar Vengalil, Neelam Sinha:
Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks. - Lima Agnel Tony, Shuvrangshu Jana, Varun V. P., Aashay Anil Bhise, Aruul Mozhi Varman S, Vidyadhara B. V, Mohitvishnu S. Gadde, Raghu Krishnapuram, Debasish Ghose:
Autonomous Cooperative Multi-Vehicle System for Interception of Aerial and Stationary Targets in Unknown Environments. - Mario Brcic, Roman V. Yampolskiy:
Impossibility Results in AI: A Survey. - Pieter Maris, Chao Yang, Dossay Oryspayev, Brandon Cook:
Accelerating an Iterative Eigensolver for Nuclear Structure Configuration Interaction Calculations on GPUs using OpenACC. - Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, Jindrich Helcl, Alexandra Birch:
Survey of Low-Resource Machine Translation. - Stanley Bak, Changliu Liu, Taylor T. Johnson:
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results. - João R. Cardoso, Pedro Miraldo:
Solving the Discrete Euler-Arnold Equations for the Generalized Rigid Body Motion. - Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný:
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. - Xiaolin Li, Rajesh C. Panicker, Barry Cardiff, Deepu John:
Multistage Pruning of CNN Based ECG Classifiers for Edge Devices. - Yan Jia, John A. McDermid, Tom Lawton, Ibrahim Habli:
The Role of Explainability in Assuring Safety of Machine Learning in Healthcare. - Hossein Amirkhani, Mohammad Taher Pilehvar:
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques. - Zhuoxiao Chen, Yadan Luo, Mahsa Baktashmotlagh:
Conditional Extreme Value Theory for Open Set Video Domain Adaptation. - Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou:
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification. - Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler:
On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation. - Tiantian Zhang, Xueqian Wang, Bin Liang, Bo Yuan:
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation. - Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher:
Boosting Search Engines with Interactive Agents. - Tristan Milne, Adrian I. Nachman:
Wasserstein GANs with Gradient Penalty Compute Congested Transport. - Jacob Leygonie, Mathieu Carrière, Théo Lacombe, Steve Oudot:
A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis. - Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes. - Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. - Christian Sprecher, Marc Fischer, Dimitar I. Dimitrov, Gagandeep Singh, Martin T. Vechev:
Shared Certificates for Neural Network Verification. - Jin Yong Yoo, Yanjun Qi:
Towards Improving Adversarial Training of NLP Models. - Xudong Shen, Yongkang Wong, Mohan S. Kankanhalli:
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks. - Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng:
Does Knowledge Help General NLU? An Empirical Study. - Akshansh Mishra, Eyob Messele Sefene, Assefa Asmare Tsegaw:
Process parameter optimization of Friction Stir Welding on 6061AA using Supervised Machine Learning Regression-based Algorithms. - Entony Lekhtman, Yftah Ziser, Roi Reichart:
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction. - Edward Verenich, Tobias Martin, Alvaro Velasquez, Nazar Khan, Faraz Hussain:
Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks. - Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem Can Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya V. Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay:
Active label cleaning: Improving dataset quality under resource constraints. - Hugo C. C. Carneiro, Cornelius Weber, Stefan Wermter:
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection. - Rain Jiang, Kai Jiang, Minghui Jiang:
Moving intervals for packing and covering. - Yingshan Chang, Mridu Narang, Hisami Suzuki, Guihong Cao, Jianfeng Gao, Yonatan Bisk:
WebQA: Multihop and Multimodal QA. - Tomer Wullach, Amir Adler, Einat Minkov:
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech. - Setareh Rahimi Taghanaki, Michael J. Rainbow, Ali Etemad:
Wearable-based Classification of Running Styles with Deep Learning. - Yue Hu, Ao Qu, Yanbing Wang, Dan Work:
Streaming data preprocessing via online tensor recovery for large environmental sensor networks. - Arianna Di Bernardo, Simone Poetto, Pietro Sillano, Beatrice Villata, Weronika Sójka, Zofia Pietka-Danilewicz, Piotr Pranke:
Latin writing styles analysis with Machine Learning: New approach to old questions. - Danae Sanchez Villegas, Nikolaos Aletras:
Point-of-Interest Type Prediction using Text and Images. - Tongjia Zheng, Qing Han, Hai Lin:
Backstepping Density Control for Large-Scale Heterogeneous Nonlinear Stochastic Systems. - Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu:
An unsupervised framework for tracing textual sources of moral change. - Tuvi Etzion:
Non-Binary Diameter Perfect Constant-Weight Codes. - Shuhan Zhang, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng:
LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces. - Giovanni De Toni, Luca Erculiani, Andrea Passerini:
Learning compositional programs with arguments and sampling. - Xiaotian Fu, Didier Le Ruyet:
Grassmannian Constellation Design for Noncoherent MIMO Systems Using Autoencoders. - Yan Shen, Zhanghexuan Ji, Mingchen Gao:
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation. - Akram Aldroubi, Longxiu Huang, Keri Kornelson, Ilya A. Krishtal:
Predictive algorithms in dynamical sampling for burst-like forcing terms. - Pascal Vaillant:
Algorithme de recherche approximative dans un dictionnaire fondé sur une distance d'édition définie par blocs. - Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. - Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition. - Christian D. Newman, Michael John Decker, Reem S. Alsuhaibani, Anthony Peruma, Satyajit Mohapatra, Tejal Vishnoi, Marcos Zampieri, Mohamed Wiem Mkaouer, Timothy J. Sheldon, Emily Hill:
An Ensemble Approach for Annotating Source Code Identifiers with Part-of-speech Tags. - Shibo Zhang, Ebrahim Nemati, Tousif Ahmed, Md. Mahbubur Rahman, Jilong Kuang, Alex Gao:
A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection. - Changye Yang, Sriram Baireddy, Enyu Cai, Melba M. Crawford, Edward J. Delp:
Field-Based Plot Extraction Using UAV RGB Images. - Sylvio Barbon Jr., Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares:
Selecting Optimal Trace Clustering Pipelines with AutoML. - Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan:
Properly learning decision trees in almost polynomial time. - Yi-Lun Liao, Sertac Karaman, Vivienne Sze:
Searching for Efficient Multi-Stage Vision Transformers. - Michael J. Roberts, Sisi Zhang, Eleanor Yuan, James Jones, Matthias Fripp:
Using Temperature Sensitivity to Estimate Shiftable Electricity Demand: Implications for power system investments and climate change. - Sina Baharlouei, Kelechi Ogudu, Sze-Chuan Suen, Meisam Razaviyayn:
RIFLE: Robust Inference from Low Order Marginals. - Nour Kouzayha, Mustafa A. Kishk, Hadi Sarieddeen, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
Coverage and Rate Analysis in Coexisting Terahertz and RF Finite Wireless Networks. - Natalia A. Tomashenko, Xin Wang, Emmanuel Vincent, Jose Patino, Brij Mohan Lal Srivastava, Paul-Gauthier Noé, Andreas Nautsch, Nicholas W. D. Evans, Junichi Yamagishi, Benjamin O'Brien, Anaïs Chanclu, Jean-François Bonastre, Massimiliano Todisco, Mohamed Maouche:
The VoicePrivacy 2020 Challenge: Results and findings. - Wael Alghamdi, Flávio P. Calmon:
Measuring Information from Moments. - Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yufeng Li, Baigui Sun, Hao Li, Rong Jin:
Dash: Semi-Supervised Learning with Dynamic Thresholding. - Monika Henzinger, Billy Jin, Richard Peng, David P. Williamson:
Cut-Toggling and Cycle-Toggling for Electrical Flow and Other p-Norm Flows. - Ikechukwu E. Onyenwe, Ebele G. Onyedinma, Chidinma A. Nwafor, Obinna Agbata:
Developing Products Update-Alert System for e-Commerce Websites Users Using HTML Data and Web Scraping Technique. - Anastasiia Postnikova, Nikita Koval, Giorgi Nadiradze, Dan Alistarh:
Multi-Queues Can Be State-of-the-Art Priority Schedulers. - Amit Kumar Mondal, Chanchal K. Roy, Kevin A. Schneider, Banani Roy, Sristy Sumana Nath:
Semantic Slicing of Architectural Change Commits: Towards Semantic Design Review. - Andrew Specian, Ross Mead, Simon Kim, Maja J. Mataric, Mark Yim:
Quori: A Community-Informed Design of a Socially Interactive Humanoid Robot. - Shuqi Dai, Zeyu Jin, Celso Gomes, Roger B. Dannenberg:
Controllable deep melody generation via hierarchical music structure representation. - Andreas Prodromou, Ashish Venkat, Dean M. Tullsen:
Agon: A Scalable Competitive Scheduler for Large Heterogeneous Systems. - Amirarsalan Rajabi, Özlem Özmen Garibay:
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks. - Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation. - Kyeong Soo Kim, Seungyeop Kang:
Clock Skew Compensation Algorithm Immune to Floating-Point Precision Loss. - Ruobing Han, Blaise Tine, Jaewon Lee, Jaewoong Sim, Hyesoon Kim:
Supporting CUDA for an extended RISC-V GPU architecture. - Zhifeng Jiang, Wei Wang, Yang Liu:
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning. - Dongjie Zhu, Yundong Sun, Haiwen Du, Zhaoshuo Tian:
Self-supervised Recommendation with Cross-channel Matching Representation and Hierarchical Contrastive Learning. - Chuanbiao Song, Yanbo Fan, Yichen Yang, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He:
Regional Adversarial Training for Better Robust Generalization. - Wenqi Yang, Zhenfang Chen, Chaofeng Chen, Guanying Chen, Kwan-Yee K. Wong:
Deep Face Video Inpainting via UV Mapping. - Naren Sarayu Manoj, Avrim Blum:
Excess Capacity and Backdoor Poisoning. - Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik, Sen Wang:
Global Convolutional Neural Processes. - Nan Xu, Junyan Wang, Yuan Tian, Ruike Zhang, Wenji Mao:
AnANet: Modeling Association and Alignment for Cross-modal Correlation Classification. - Leo Gao:
An Empirical Exploration in Quality Filtering of Text Data. - Guangwei Gao, Guoan Xu, Juncheng Li, Yi Yu, Huimin Lu, Jian Yang:
FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation. - Juntao Huang, Yingda Cheng, Andrew J. Christlieb, Luke F. Roberts:
Machine learning moment closure models for the radiative transfer equation III: enforcing hyperbolicity and physical characteristic speeds. - Gurmeet Manku, James Lee-Thorp, Bhargav Kanagal, Joshua Ainslie, Jingchen Feng, Zach Pearson, Ebenezer Anjorin, Sudeep Gandhe, Ilya Eckstein, Jim Rosswog, Sumit Sanghai, Michael Pohl, Larry Adams, D. Sivakumar:
ShopTalk: A System for Conversational Faceted Search. - Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo:
Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models. - Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou:
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study. - Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain:
Efficient Algorithms For Fair Clustering with a New Fairness Notion. - Ahmed El Alaoui, Andrea Montanari:
An Information-Theoretic View of Stochastic Localization. - Zun Wang, Chong Wang, Sibo Zhao, Yong Xu, Shaogang Hao, Chang Yu Hsieh, Bing-Lin Gu, Wenhui Duan:
Heterogeneous relational message passing networks for molecular dynamics simulations. - Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability. - Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang:
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. - Liping Yang, Xiaxia Niu, Jun Wu:
RF-LighGBM: A probabilistic ensemble way to predict customer repurchase behaviour in community e-commerce. - Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang:
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. - Naoto Ohsaka:
Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes. - Eyup Halit Yilmaz, Cagri Toraman:
ConQX: Semantic Expansion of Spoken Queries for Intent Detection based on Conditioned Text Generation. - Purandar Bhaduri:
Coalgebras for Bisimulation of Weighted Automata over Semirings. - Tracy Tam, Asha Rao, Joanne L. Hall:
The Good, The Bad and The Missing: A Narrative Review of Cyber-security Implications for Australian Small Businesses. - Masatoshi Osumi:
Ramsey Numbers of Trails. - Pierre Lance Tan, Virgilio P. Sison:
Quaternions over Galois rings and their codes. - Itsaso Rodríguez-Moreno, Itziar Irigoien, Basilio Sierra, Concepción Arenas:
dbcsp: User-friendly R package for Distance-Based Common Spacial Patterns. - Yuanyuan Shi, Bolun Xu:
End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning. - (Withdrawn) MIR-VIO: Mutual Information Residual-based Visual Inertial Odometry with UWB Fusion for Robust Localization.
- Sijia Li, Shiguang Liu, Dinesh Manocha:
Binaural Audio Generation via Multi-task Learning. - Junjun Pan, Michael K. Ng:
Co-Separable Nonnegative Matrix Factorization. - Zhiming Mao, Xingshan Zeng, Kam-Fai Wong:
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding. - Mhd Saria Allahham, Sameh Sorour, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Energy-Efficient Multi-Orchestrator Mobile Edge Learning. - David Lehnherr, Zoran Ognjanovic, Thomas Studer:
A logic of interactive proofs. - Attaullah Sahito, Eibe Frank, Bernhard Pfahringer:
Better Self-training for Image Classification through Self-supervision. - Corey Toler-Franklin, Shashank Ranjan:
Non-Photorealistic Rendering of Layered Materials: A Multispectral Approach. - Daesoo Lee, Erlend Aune:
VIbCReg: Variance-Invariance-better-Covariance Regularization for Self-Supervised Learning on Time Series. - Guanqiu Ma, Guanghui Hu:
Factorization method for inverse time-harmonic elastic scattering with a single plane wave. - Attaullah Sahito, Eibe Frank, Bernhard Pfahringer:
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification. - Attaullah Sahito, Eibe Frank, Bernhard Pfahringer:
Semi-Supervised Learning using Siamese Networks. - José Matias, Julio P. C. Oliveira, Galo A. C. Le Roux, Johannes Jäschke:
Steady-state Real-time Optimization Using Transient Measurements on an Experimental Rig. - Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou:
Multi-Modal Zero-Shot Sign Language Recognition. - Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim:
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers. - Ruicong Huang:
Brief View and Analysis to Latest Android Security Issues and Approaches. - Sandro Augusto Magalhães, Luís Castro, Germano Moreira, Filipe Neves dos Santos, Mário Cunha, Jorge Dias, António Paulo Moreira:
Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse. - Yiming Qian, Cheikh Brahim El Vaigh, Yuta Nakashima, Benjamin Renoust, Hajime Nagahara, Yutaka Fujioka:
Built Year Prediction from Buddha Face with Heterogeneous Labels. - Michel Halmes, Hippolyte Heuberger, Sylvain Berlemont:
Deep Learning-based mitosis detection in breast cancer histologic samples. - Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low:
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization. - Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo:
Adherence and Constancy in LIME-RS Explanations for Recommendation. - B. R. Manoj, Guoda Tian, Sara Gunnarsson, Fredrik Tufvesson, Erik G. Larsson:
Sensing and Classification Using Massive MIMO: A Tensor Decomposition-Based Approach. - Bedilia Estrada-Torres, Adela del-Río-Ortega, Manuel Resinas:
Dialog-based Automation of Decision Making in Processes. - Maxime W. Lafarge, Viktor H. Koelzer:
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge. - Nada Osman, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan:
SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos. - Dominik Martin, Niklas Kühl, Marcel Schwenk:
Towards a Reference Architecture for Future Industrial Internet of Things Networks. - Mykola Trokhymovych, Diego Sáez-Trumper:
WikiCheck: An end-to-end open source Automatic Fact-Checking API based on Wikipedia. - Simon Vrhovec:
Survey about social engineering and the Varni na internetu awareness campaign, 2020. - Rui Zhao:
An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts. - Christos Theodoropoulos, James Henderson, Andrei C. Coman, Marie-Francine Moens:
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning. - Timon S. Gutleb, José A. Carrillo, Sheehan Olver:
Computation of Power Law Equilibrium Measures on Balls of Arbitrary Dimension. - Chennakesava Kadapa, Mokarram Hossain:
A unified numerical approach for soft to hard magneto-viscoelastically coupled polymers. - Mostafa Jahanifar, Adam J. Shephard, Neda Zamani Tajeddin, Raja Muhammad Saad Bashir, Mohsin Bilal, Syed Ali Khurram, Fayyaz A. Minhas, Nasir M. Rajpoot:
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge. - Pål Vegard Johnsen, Inga Strümke, Signe Riemer-Sørensen, Andrew Thomas DeWan, Mette Langaas:
Inferring feature importance with uncertainties in high-dimensional data. - Rohit Chowdhury, Deepak N. Subramani:
Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows using a GPU-Accelerated Algorithm. - Yue Wang, Weishi Wang, Shafiq R. Joty, Steven C. H. Hoi:
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation. - David Cameron, Emily C. Collins:
User, Robot, Deployer: A New Model for Measuring Trust in HRI. - Rahul Dubey, Sushil J. Louis:
VORRT-COLREGs: A Hybrid Velocity Obstacles and RRT Based COLREGs-Compliant Path Planner for Autonomous Surface Vessels. - Partha Das, Yang Liu, Sezer Karaoglu, Theo Gevers:
Generative Models for Multi-Illumination Color Constancy. - Yan Wang, Yuhang Li, Ruihao Gong:
Real World Robustness from Systematic Noise. - Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Habitual and Reflective Control in Hierarchical Predictive Coding. - Mark van der Boor, Céline Comte:
Load Balancing in Heterogeneous Server Clusters: Insights From a Product-Form Queueing Model. - Khan Mohammad Habibullah, Jennifer Horkoff:
Non-functional Requirements for Machine Learning: Understanding Current Use and Challenges in Industry. - Siddharth Barman, Arindam Khan, Arnab Maiti:
Universal and Tight Online Algorithms for Generalized-Mean Welfare. - Jia Ye, Jingping Qiao, Abla Kammoun, Mohamed-Slim Alouini:
Non-terrestrial Communications Assisted by Reconfigurable Intelligent Surfaces. - Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis:
DVM-CAR: A large-scale automotive dataset for visual marketing research and applications. - Eshagh Kargar, Ville Kyrki:
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization. - Donglin Zhang, Xiao-Jun Wu, He-Feng Yin, Josef Kittler:
MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrieval. - Rashmi Bakshi, Jane Courtney, Damon Berry, Graham Gavin:
Tracking Hand Hygiene Gestures with Leap Motion Controller. - Jonathan S. Kent, Charles C. Wamsley, Davin Flateau, Amber Ferguson:
Unsupervised Learning for Target Tracking and Background Subtraction in Satellite Imagery. - Akshansh Mishra:
Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints. - Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni:
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. - Oguzhan Kose:
Real-World Application of Various Trajectory Planning Algorithms on MIT RACECAR. - Mahdi Darvish, Mahsa Pouramini, Hamid Bahador:
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection. - Jean-Emmanuel Deschaud:
KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator. - Atefeh Mahdavi, Marco Carvalho:
A Survey on Open Set Recognition. - Luoxiao Yang, Long Wang, Zijun Zhang:
Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method. - Yushan Zhu, Huaixiao Tou, Wen Zhang, Ganqiang Ye, Hui Chen, Ningyu Zhang, Huajun Chen:
Knowledge Perceived Multi-modal Pretraining in E-commerce. - Kshitiz Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon, Tarik A. Rashid, Rasha Subhi Ali, P. W. C. Prasad, Oday D. Jerew:
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning. - Xuan Li, Liqiong Chang, Xue Liu:
CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication. - Zhenfeng Shao, Gui Cheng, Deren Li, Xiao Huang, Zhipeng Lu, Jian Liu:
Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping. - Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos:
MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer. - Pierre Leone, Nathan Cohen:
Rendezvous on the Line with Different Speeds and Markers that can be Dropped at Chosen Time. - Md Abdullah Al Nasim, Atiqul Islam Chowdhury, Jannatun Naeem Muna, Faisal Muhammad Shah:
An Automated Approach for the Recognition of Bengali License Plates. - Eunyeong Jeon, Kunhee Kim, Daijin Kim:
FA-GAN: Feature-Aware GAN for Text to Image Synthesis. - Joe Gildea, Adrian Korban, Adam Michael Roberts, Alexander Tylyshchak:
Binary self-dual codes of various lengths with new weight enumerators from a modified bordered construction and neighbours. - Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis:
Sparsifying the Update Step in Graph Neural Networks. - Omri Lev, Anatoly Khina:
Energy-limited Joint Source-Channel Coding via Analog Pulse Position Modulation. - Yonghyun Jeong, Doyeon Kim, Seungjai Min, Seongho Joe, Youngjune Gwon, Jongwon Choi:
BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection. - Peter Polák, Ondrej Bojar:
Coarse-To-Fine And Cross-Lingual ASR Transfer. - Eduardo Andreetta Fontana, Fábio Petrillo:
Mapping breakpoint types: an exploratory study. - Mohammad R. Bayanlou, Mehdi Khoshboresh-Masouleh:
Multi-task learning from fixed-wing UAV images for 2D/3D city modeling. - Sudipan Saha, Shan Zhao, Xiao Xiang Zhu:
Reiterative Domain Aware Multi-target Adaptation. - Arianna Salili-James, Anne Mackay, Emilio Rodriguez-Alvarez, Diana Rodriguez-Perez, Thomas Mannack, Timothy A. Rawlings, A. Richard Palmer, Jonathan Todd, Terhi E. Riutta, Cate Macinnis-Ng, Zhitong Han, Megan Davies, Zinnia Thorpe, Stephen Marsland, Armand M. Leroi:
Classifying Organisms and Artefacts By Their Shapes. - Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel:
Improving Multimodal fusion via Mutual Dependency Maximisation. - Fuchen Gao, Zhanquan Wang, Zhenguang Liu:
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction. - Ervin Teng, Bob Iannucci:
Autonomous Curiosity for Real-Time Training Onboard Robotic Agents. - Valter Uotila, Jiaheng Lu, Dieter Gawlick, Zhen Hua Liu, Souripriya Das, Gregory Pogossiants:
MultiCategory: Multi-model Query Processing Meets Category Theory and Functional Programming. - Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Impact of Attention on Adversarial Robustness of Image Classification Models. - Hrishit Chaudhuri, Vibha Masti, Vishruth Veerendranath, S. Natarajan:
A Comparative Study of Algorithms for Intelligent Traffic Signal Control. - Aythami Morales, Julian Fiérrez, Alejandro Acien, Ruben Tolosana, Ignacio Serna:
SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation. - Lynnette Hui Xian Ng, Iain Cruickshank, Kathleen M. Carley:
Coordinating Narratives and the Capitol Riots on Parler. - Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li:
Adversarial Robustness for Unsupervised Domain Adaptation. - Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein:
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. - Joseph Gesnouin, Steve Pechberti, Bogdan Stanciulescu, Fabien Moutarde:
TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian crossing prediction. - Philipp Scharpf, Moritz Schubotz, Bela Gipp:
Towards Explaining STEM Document Classification using Mathematical Entity Linking. - Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda:
A Novel Compaction Approach for SBST Test Programs. - Alexandre Araujo:
Building Compact and Robust Deep Neural Networks with Toeplitz Matrices. - Qiang Gao, Wei Wang, Kunpeng Zhang, Xin Yang, Congcong Miao:
Self-supervised Representation Learning for Trip Recommendation. - Robin Haunschild, Lutz Bornmann:
Reference Publication Year Spectroscopy (RPYS) in practice: Three RPYS analyzes in the course of Workshop III "Cited References Analysis Using CRExplorer" at the 18th ISSI conference. - Abhishek Roy, Sudhan Majhi:
Construction of Inter-Group Complementary Code Set and 2-D Z-Complementary Array Code Set Based on Multivariable Functions. - Tonicha Crook, Arno Pauly:
The Weihrauch degree of finding Nash equilibria in multiplayer games. - George Sioros, Kristian Nymoen:
Accurate shape and phase averaging of time series through Dynamic Time Warping. - Jiaxin Liang, Soung Chang Liew:
ROFA: An OFDMA system for Ultra-Reliable Wireless Industrial Networking. - Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher:
How does the User's Knowledge of the Recommender Influence their Behavior? - Brian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten:
CrypTen: Secure Multi-Party Computation Meets Machine Learning. - Frédéric Legoll, Pierre-Loïk Rothé, Claude Le Bris, Ulrich Hetmaniuk:
An MsFEM approach enriched using Legendre polynomials. - Benjamin Clavié, Akshita Gheewala, Paul Briton, Marc Alphonsus, Rym Laabiyad, Francesco Piccoli:
LegaLMFiT: Efficient Short Legal Text Classification with LSTM Language Model Pre-Training. - Mauro Bisiacco, Gianluigi Pillonetto:
COVID-19 epidemic control using short-term lockdowns for collective gain. - Xinchao Jiang, Hu Wang, Yu Li:
A Physics-Data-Driven Bayesian Method for Heat Conduction Problems. - Fayçal Ait Aoudia, Jakob Hoydis:
Waveform Learning for Next-Generation Wireless Communication Systems. - Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey:
Leveraging Documentation to Test Deep Learning Library Functions. - Björn Lindqvist, Sina Sharif Mansouri, Pantelis Sopasakis, George Nikolakopoulos:
Collision avoidance for multiple MAVs using fast centralized NMPC. - Daniel Le Berre, Romain Wallon:
On Dedicated CDCL Strategies for PB Solvers. - Beatrix-Emoke Fülöp-Balogh, Eleanor Tursman, James Tompkin, Julie Digne, Nicolas Bonneel:
Dynamic Scene Novel View Synthesis via Deferred Spatio-temporal Consistency. - Jakob Sjudin, Martin Marcusson, Lennart Svensson, Lars Hammarstrand:
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter. - Nathan Zachary, Gerald Carl, Russell Elijah, Hessi Roma, Robert Leer, James Amelia:
Scene Text recognition with Full Normalization. - Thach Le Nguyen, Georgiana Ifrim:
MrSQM: Fast Time Series Classification with Symbolic Representations. - Nicolas T. Courtois, Kacper T. Gradon, Klaus Schmeh:
Crypto Currency Regulation and Law Enforcement Perspectives. - Hongyin Zhu, Hao Peng, Zhiheng Lyu, Lei Hou, Juanzi Li, Jinghui Xiao:
TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation. - Stefan Kiefer, Cas Widdershoven:
Image-Binary Automata. - Aditi S. Krishnapriyan, Amir Gholami, Shandian Zhe, Robert M. Kirby, Michael W. Mahoney:
Characterizing possible failure modes in physics-informed neural networks. - Alexander Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin:
Shot boundary detection method based on a new extensive dataset and mixed features. - A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova:
4D-Net for Learned Multi-Modal Alignment. - Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu:
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. - Laura Nguyen, Thomas Scialom, Jacopo Staiano, Benjamin Piwowarski:
Skim-Attention: Learning to Focus via Document Layout. - Jonathan Leake, Nisheeth K. Vishnoi:
Optimization and Sampling Under Continuous Symmetry: Examples and Lie Theory. - Sandeep Ramachandra, Alexander Hoelzemann, Kristof Van Laerhoven:
Transformer Networks for Data Augmentation of Human Physical Activity Recognition. - Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar:
Text Classification for Predicting Multi-level Product Categories. - Salar Razavi, Fariba Dambandkhameneh, Dimitri Androutsos, Susan Done, April Khademi:
Cascade RCNN for MIDOG Challenge. - Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell:
On-target Adaptation. - Ying Zhao, Xin Zhao, Siming Chen, Zhuo Zhang, Xin Huang:
An Indoor Crowd Movement Trajectory Benchmark Dataset. - (Withdrawn) What Users Want? WARHOL: A Generative Model for Recommendation.
- Zihang Lai, Senthil Purushwalkam, Abhinav Gupta:
The Functional Correspondence Problem. - Chantal Amrhein, Rico Sennrich:
How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? - Martin Peresíni, Federico Matteo Bencic, Kamil Malinka, Ivan Homoliak:
DAG-Oriented Protocols PHANTOM and GHOSTDAG under Incentive Attack via Transaction Selection Strategy. - Marcin Nawrocki, Mattijs Jonker, Thomas C. Schmidt, Matthias Wählisch:
The Far Side of DNS Amplification: Tracing the DDoS Attack Ecosystem from the Internet Core. - Muhammad Fadli Damara, Gregor Kornhardt, Peter Jung:
Solving Inverse Problems with Conditional-GAN Prior via Fast Network-Projected Gradient Descent. - Marcin Nawrocki, Raphael Hiesgen, Thomas C. Schmidt, Matthias Wählisch:
QUICsand: Quantifying QUIC Reconnaissance Scans and DoS Flooding Events. - Anna-Katharina Wickert, Lars Baumgärtner, Florian Breitfelder, Mira Mezini:
Python Crypto Misuses in the Wild. - Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn:
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. - Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu:
An Empirical Study of Graph Contrastive Learning. - Andrew T. Walter, Seth Cooper, Panagiotis Manolios:
A Reasoning Engine for the Gamification of Loop-Invariant Discovery. - Said Fahri Altindis, Yusuf Dalva, Aysegul Dundar:
Benchmarking the Robustness of Instance Segmentation Models. - Youjin Chung, Jihoon Cho, Jinah Park:
Domain-Robust Mitotic Figure Detection with Style Transfer. - Cansu Demirkiran, Furkan Eris, Gongyu Wang, Jonathan Elmhurst, Nick Moore, Nicholas C. Harris, Ayon Basumallik, Vijay Janapa Reddi, Ajay Joshi, Darius Bunandar:
An Electro-Photonic System for Accelerating Deep Neural Networks. - Tomislav Duricic, Volker Seiser, Elisabeth Lex:
Cross-platform analysis of user comments in YouTube videos linked on Reddit conspiracy theory forum. - Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou:
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. - Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu:
Learning to Prompt for Vision-Language Models. - Yoon Kim:
Sequence-to-Sequence Learning with Latent Neural Grammars. - Qianli Ma, Jinlong Yang, Siyu Tang, Michael J. Black:
The Power of Points for Modeling Humans in Clothing. - Valerio Terragni, Pasquale Salza:
APIzation: Generating Reusable APIs from StackOverflow Code Snippets. - Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp:
Challenges in Generalization in Open Domain Question Answering. - Alexej Moskovka, Jan Valdman:
Fast MATLAB evaluation of nonlinear energies using FEM in 2D and 3D: nodal elements. - Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley:
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. - Korbinian Spielvogel, Henrich C. Pöhls, Joachim Posegga:
TLS Beyond the Broker: Enforcing Fine-grained Security and Trust in Publish/Subscribe Environments for IoT. - Seung Heon Sheen, Egor Larionov, Dinesh K. Pai:
Volume Preserving Simulation of Soft Tissue with Skin. - Massimo Frittelli, Ivonne Sgura:
Matrix-oriented FEM formulation for stationary and time-dependent PDEs on x-normal domains. - Sage Bergerson:
Multi-Agent Inverse Reinforcement Learning: Suboptimal Demonstrations and Alternative Solution Concepts. - Jiunn-Kai Huang, William A. Clark, Jessy W. Grizzle:
Optimal Target Shape for LiDAR Pose Estimation. - Arnav Vaibhav Malawade, Shih-Yuan Yu, Brandon Hsu, Harsimrat Kaeley, Anurag Karra, Mohammad Abdullah Al Faruque:
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs. - Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Remote Multilinear Compressive Learning with Adaptive Compression. - Atieh Taheri, Ziv Weissman, Misha Sra:
Exploratory Design of a Hands-free Video Game Controller for a Quadriplegic Individual. - Giovane C. M. Moura, Raffaele Sommese, Mattijs Jonker:
Hosting Industry Centralization and Consolidation. - Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks:
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. - Alexander Ostermann, Fangyan Yao, Yifei Wu:
A second order low-regularity integrator for the nonlinear Schrödinger equation. - Nils Dycke, Edwin Simpson, Ilia Kuznetsov, Iryna Gurevych:
Ranking Scientific Papers Using Preference Learning. - Eduardo Mendes, Fábio Petrillo:
Log severity levels matter: A multivocal mapping. - Kunal Rao, Giuseppe Coviello, Wang-Pin Hsiung, Srimat T. Chakradhar:
ECO: Edge-Cloud Optimization of 5G applications. - Vishnu Nair, Jay L. Karp, Samuel Silverman, Mohar Kalra, Hollis Lehv, Faizan Jamil, Brian A. Smith:
NavStick: Making Video Games Blind-Accessible via the Ability to Look Around. - Muhammad Samir Khan, Nitin H. Vaidya:
Byzantine Consensus in Directed Hypergraphs. - Patrik Jonell, Anna Deichler, Ilaria Torre, Iolanda Leite, Jonas Beskow:
Mechanical Chameleons: Evaluating the effects of a social robot's non-verbal behavior on social influence. - Maksym Del, Mark Fishel:
Establishing Interlingua in Multilingual Language Models. - Anya Belz:
Quantifying Reproducibility in NLP and ML. - Dohyeon Kim, Joongheon Kim, Jae Young Bang:
A Reliable, Self-Adaptive Face Identification Framework via Lyapunov Optimization. - James S. Plank, Catherine D. Schuman, Robert M. Patton:
An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment. - Bhaskar Ramasubramanian, M. A. Rajan, M. Girish Chandra, Rance Cleaveland, Steven I. Marcus:
Resilience to Denial-of-Service and Integrity Attacks: A Structured Systems Approach. - James A. Michaelov, Seana Coulson, Benjamin K. Bergen:
So Cloze yet so Far: N400 Amplitude is Better Predicted by Distributional Information than Human Predictability Judgements. - Michael Sollami, Aashish Jain:
Multimodal Conditionality for Natural Language Generation. - Jennifer A. Loe, Christian A. Glusa, Ichitaro Yamazaki, Erik G. Boman, Sivasankaran Rajamanickam:
A Study of Mixed Precision Strategies for GMRES on GPUs. - Jianli Wei, Guanyu Xu, Alper Yilmaz:
DeepTracks: Geopositioning Maritime Vehicles in Video Acquired from a Moving Platform. - Samuel Mensah, Kai Sun, Nikolaos Aletras:
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction. - Vaibhav Kumar, Muhammad Fainan Hanif, Markku J. Juntti, Le-Nam Tran:
A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access. - Yuan Gao, Yan Gu:
Invariant Filtering for Bipedal Walking on Dynamic Rigid Surfaces with Orientation-based Measurement Model. - Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum:
Entity Linking and Discovery via Arborescence-based Supervised Clustering. - Albert Webson, Ellie Pavlick:
Do Prompt-Based Models Really Understand the Meaning of their Prompts? - Othmane Cherqi, Hicham Hammouchi, Mounir Ghogho, Houda Benbrahim:
Leveraging Open Threat Exchange (OTX) to Understand Spatio-Temporal Trends of Cyber Threats: Covid-19 Case Study. - Minghui Li, Mejdi Azaïez, Chuanju Xu:
New efficient time-stepping schemes for the anisotropic phase-field dendritic crystal growth model. - Sanjeev Sondur, Krishna Kant:
Performance Health Index for Complex Cyber Infrastructures. - Xiaowu Sun, Wael Fatnassi, Ulices Santa Cruz, Yasser Shoukry:
Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach. - Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong, Qing Xia, Chongqing Kang:
Estimating Demand Flexibility Using Siamese LSTM Neural Networks. - T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella:
On the Accuracy of Analog Neural Network Inference Accelerators. - Ting-Wei Wu, Ruolin Su, Biing-Hwang Juang:
A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection. - Farzaneh Zokaee, Lei Jiang:
SMART: A Heterogeneous Scratchpad Memory Architecture for Superconductor SFQ-based Systolic CNN Accelerators. - Zehua Zeng, Minhui Xie, Matthew Gouzoulis, Leilani Battle:
Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems. - Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie:
UserBERT: Contrastive User Model Pre-training. - Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan:
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. - Michael Timothy Bennett:
Symbol Emergence and The Solutions to Any Task. - (Withdrawn) Retraction: Improved Approximation Schemes for Dominating Set Problems in Unit Disk Graphs.
- Zeyuan Zhou, Mei-Yuan Zhen, Kun Qu, Jin-Sheng Cai:
High Order Hermite Finite Difference Method for Euler/Navier-Stokes Equations in 2D Unstructured Meshes. - Zhao-Heng Yin, Chenran Li, Liting Sun, Masayoshi Tomizuka, Wei Zhan:
Iterative Imitation Policy Improvement for Interactive Autonomous Driving. - Nan Jiang, Adnan Aijaz, Yichao Jin:
Recursive Periodicity Shifting for Semi-Persistent Scheduling of Time-Sensitive Communication in 5G. - Xinwei He, Silin Cheng, Song Bai, Xiang Bai:
CAP-Net: Correspondence-Aware Point-view Fusion Network for 3D Shape Analysis. - Yingwen Fu, Nankai Lin, Zhihe Yang, Shengyi Jiang:
An Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition. - Zhong Ji, Zhishen Hou, Xiyao Liu, Yanwei Pang, Jungong Han:
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning. - Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. - Xiyao Liu, Zhong Ji, Yanwei Pang, Zhongfei Zhang:
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition. - James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian:
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. - Navid Ahmadinejad, Li Liu:
J-Score: A Robust Measure of Clustering Accuracy. - Eric Neyman, Tim Roughgarden:
Strictly Proper Contract Functions Can Be Arbitrage-Free. - Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang:
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters. - Zixuan Chen, Junhong Zou, Xiaotao Wang:
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models. - Qingkai Shi, Yongchao Wang, Charles Zhang:
Indexing Context-Sensitive Reachability. - Vincent R. Pascuzzi, Mehdi Goli:
Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability. - Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Detecting Speaker Personas from Conversational Texts. - Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya:
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models. - Khac-Hoang Ngo, Nhan Thanh Nguyen, Thinh Quang Dinh, Trong-Minh Hoang, Markku J. Juntti:
Low-Latency and Secure Computation Offloading Assisted by Hybrid Relay-Reflecting Intelligent Surface. - Abhinav Sinha, Shashi Ranjan Kumar:
Cooperative Target Capture using Predefined-time Consensus over Fixed and Switching Networks. - David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Circuit Lower Bounds for the p-Spin Optimization Problem. - Petter Ögren:
On the similarities between Control Barrier Functions (CBFs) and Behavior Control Lyapunov Functions (BCLFs). - Tengfei Wang, Jiaxin Xie, Wenxiu Sun, Qiong Yan, Qifeng Chen:
Dual-Camera Super-Resolution with Aligned Attention Modules. - Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Spatially varying white balancing for mixed and non-uniform illuminants. - Junyoung Choi, Hakjun Lee, Suyeon Kim, Seok-Kyu Kwon, Won-Ki Jeong:
MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis. - Moritz C. Buehler, Jürgen Adamy, Thomas H. Weisswange:
Theory of Mind Based Assistive Communication in Complex Human Robot Cooperation. - Shaofei Cai, Liang Li, Xinzhe Han, Zhengjun Zha, Qingming Huang:
Edge-featured Graph Neural Architecture Search. - Junhui Li, Jieying Lu, Weizhou Su:
Optimal output feedback control of a class of linear systems with quasi-colored control-dependent multiplicative noise. - Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang:
Towards Learning Spatially Discriminative Feature Representations. - Tomas Kulik, Brijesh Dongol, Peter Gorm Larsen, Hugo Daniel Macedo, Steve Schneider, Peter Würtz Vinther Tran-Jørgensen, Jim Woodcock:
A Survey of Practical Formal Methods for Security. - Sihao Sun, Angel Romero, Philipp Foehn, Elia Kaufmann, Davide Scaramuzza:
A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight. - Alonso Rodríguez-Navarro, Ricardo Brito:
Validated research assessment based on highly cited researchers. - Jiahui Li, Kun Kuang, Lin Li, Long Chen, Songyang Zhang, Jian Shao, Jun Xiao:
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation. - Pegdwendé N. Sawadogo, Jérôme Darmont, Camille Noûs:
Joint Management and Analysis of Textual Documents and Tabular Data within the AUDAL Data Lake. - Mahendran N:
Deep Learning for Fitness. - Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms. - Per Runeson, Thomas Olsson, Johan Linåker:
Open Data Ecosystems - an empirical investigation into an emerging industry collaboration concept. - Daniel Rosendo, Alexandru Costan, Gabriel Antoniu, Patrick Valduriez:
Enabling Reproducible Analysis of Complex Workflows on the Edge-to-Cloud Continuum. - Maarja Bussov, Joonas Nättilä:
Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learning. - Hoi-Yin Lee, Peng Zhou, Jiangliu Wang, Victor Wu, David Navarro-Alarcon:
A Multi-Sensor Interface to Improve the Teaching and Learning Experience in Arc Welding Training Tasks. - Rodothea-Myrsini Tsoupidi, Musard Balliu, Benoit Baudry:
Vivienne: Relational Verification of Cryptographic Implementations in WebAssembly. - Riccardo Dondi, Mohammad Mehdi Hosseinzadeh:
Finding Colorful Paths in Temporal Graphs. - T. Anderson Keller, Max Welling:
Topographic VAEs learn Equivariant Capsules. - Elena Voita, Rico Sennrich, Ivan Titov:
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. - Xiao Gu, Jianxin Yang, Hanxiao Zhang, Jianing Qiu, Frank Po Wen Lo, Yao Guo, Guang-Zhong Yang, Benny Lo:
Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation. - Arjun R. Akula, Keze Wang, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Chai, Song-Chun Zhu:
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models. - Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi:
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? - A. S. M. Badrudduza, Sheikh Habibul Islam, Milton Kumar Kundu, Imran Shafique Ansari:
Secrecy Performance of α-κ-μ Shadowed Fading Channel. - Ziqi Zhang, Xingyi Song:
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining. - Daniel Jarne Ornia, Manuel Mazo Jr.:
Event-Based Communication in Multi-Agent Distributed Q-Learning. - Bemali Wickramanayake, Zhipeng He, Chun Ouyang, Catarina Moreira, Yue Xu, Renuka Sindhgatta:
Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms. - Henri Tiittanen, Liisa Holm, Petri Törönen:
A New Approach to Multilabel Stratified Cross Validation with Application to Large and Sparse Gene Ontology Datasets. - Tom Gilat:
Smooth Surfaces via Nets of Geodesics. - Xiaodong Liu, Shixu Meng:
A multi-frequency sampling method for the inverse source problems with sparse measurements. - Hugo Rincon Galeana, Sergio Rajsbaum, Ulrich Schmid:
Continuous Tasks and the Chromatic Simplicial Approximation Theorem. - Riccardo Fogliato, Alexandra Chouldechova, Zachary C. Lipton:
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies. - Guillermo Bernárdez, José Suárez-Varela, Albert López, Bo Wu, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Is Machine Learning Ready for Traffic Engineering Optimization? - (Withdrawn) Impact of GPU uncertainty on the training of predictive deep neural networks.
- Daegeon Kim, Hyeonho Lee:
Security Enhancement of Drone Considering the Characteristics of Data Transmitted between Wireless Channels. - Ji Yang, Lu Sang, Daniel Cremers:
Dive into Layers: Neural Network Capacity Bounding using Algebraic Geometry. - Srikar Kasi, P. A. Warburton, John Kaewell, Kyle Jamieson:
Challenge: A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks. - Suprosanna Shit, Ivan Ezhov, Leon Mächler, Abinav R., Jana Lipková, Johannes C. Paetzold, Florian Kofler, Marie Piraud, Bjoern H. Menze:
Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations. - Rui Pimentel de Figueiredo, Jonas le Fevre Sejersen, Jakob Grimm Hansen, Martim Brandão, Erdal Kayacan:
Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach. - Maximilian Stubbemann, Gerd Stumme:
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification. - Johan Ruuskanen, Haorui Peng, Alfred Åkesson, Lars Larsson, Maria Kihl:
FedApp: a Research Sandbox for Application Orchestration in Federated Clouds using OpenStack. - Mai Phuong Pham Huynh, Manuel Santana, Ana Castillo:
Alternating Minimization for Computed Tomography with Unknown Geometry Parameters. - Dale Miller:
A Survey of the Proof-Theoretic Foundations of Logic Programming. - Haoran Yang, Wai Lam, Piji Li:
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation. - Bensingh Dhas, Jamun Kumar N, Debasish Roy, J. N. Reddy:
A mixed method for 3D nonlinear elasticity using finite element exterior calculus. - Zohair Raza Hassan, Imdadullah Khan, Mudassir Shabbir, Waseem Abbas:
Computing Graph Descriptors on Edge Streams. - Adrien Deliège, Anthony Cioppa, Marc Van Droogenbroeck:
Ghost Loss to Question the Reliability of Training Data. - Xuanchi Ren, Tao Yang, Li Erran Li, Alexandre Alahi, Qifeng Chen:
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving. - Amirhosein Toosi, Andrea Bottino, Babak Saboury, Eliot L. Siegel, Arman Rahmim:
A brief history of AI: how to prevent another winter (a critical review). - Ruslan Yermakov, Nicholas Drago, Angelo Ziletti:
Biomedical Data-to-Text Generation via Fine-Tuning Transformers. - Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau:
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. - Jozef Michal Mintal, Michal Kalman, Karol Fabian:
Hide and seek in Slovakia: utilizing tracking code data to uncover untrustworthy website networks. - Anton Vakhrushev, Alexander Ryzhkov, Maxim Savchenko, Dmitry Simakov, Rinchin Damdinov, Alexander Tuzhilin:
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem. - Rhys Green, Matthew Rowe, Alberto Polleri:
MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator. - Yiming Tu, Jin Xie:
UnDeepLIO: Unsupervised Deep Lidar-Inertial Odometry. - Benoît Valiron, Shane Mansfield, Pablo Arrighi, Prakash Panangaden:
Proceedings 17th International Conference on Quantum Physics and Logic, QPL 2020, Paris, France, June 2 - 6, 2020. EPTCS 340, 2021 [contents] - Dimitris Gkoumas, Bo Wang, Adam Tsakalidis, Maria Wolters, Arkaitz Zubiaga, Matthew Purver, Maria Liakata:
A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis. - Somenath Chakraborty, Beddhu Murali:
Investigate the Correlation of Breast Cancer Dataset using Different Clustering Technique. - Christian Ryan, Sharmishtha Dutta, Youngja Park, Nidhi Rastogi:
Ontology-driven Knowledge Graph for Android Malware. - Frederiek Wesel, Kim Batselier:
Large-Scale Learning with Fourier Features and Tensor Decompositions. - Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. - Giovanni Casini, Thomas Andreas Meyer, Ivan Varzinczak:
Situated Conditional Reasoning. - Tianci Yang, Carlos Murguia, Chen Lv:
Risk Assessment for Connected Vehicles under Stealthy Attacks on Vehicle-to-Vehicle Networks. - Bo Sun, Russell Lee, Mohammad H. Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems. - Paul Michel:
Learning Neural Models for Natural Language Processing in the Face of Distributional Shift. - Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Model-Based Parameter Optimization for Ground Texture Based Localization Methods. - Harsh Sakhrani, Saloni Parekh, Pratik Ratadiya:
Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification. - Adrien Deliège, Maxime Istasse, Ashwani Kumar, Christophe De Vleeschouwer, Marc Van Droogenbroeck:
Ordinal Pooling. - Luca Barletta, Alex Dytso:
Scalar Gaussian Wiretap Channel: Properties of the Support Size of the Secrecy-Capacity-Achieving Distribution. - Raaghav Radhakrishnan, Jan Fabian Schmid, Randolf Scholz, Lars Schmidt-Thieme:
Deep Metric Learning for Ground Images. - Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha:
Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks. - Reza Soltani, Eun-Young Kang, Juan Esteban Heredia Mena:
Verification and Optimization of Cyber-Physical Systems: Preprint for FedCSIS. - Christopher Iliffe Sprague, Petter Ögren:
Continuous-Time Behavior Trees as Discontinuous Dynamical Systems. - Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. - Gereon Kremer, Erika Ábrahám, Vijay Ganesh:
On the proof complexity of MCSAT. - João Regateiro, Edmond Boyer:
3D Human Shape Style Transfer. - Jean Basset, Adnane Boukhayma, Stefanie Wuhrer, Franck Multon, Edmond Boyer:
Neural Human Deformation Transfer. - Serkan Kiranyaz, Junaid Malik, Mehmet Yamac, Esin Guldogan, Türker Ince, Moncef Gabbouj:
Super Neurons. - Christos-Minas Mathas, Costas Vassilakis, Nicholas Kolokotronis:
A Trust Management System for the IoT domain. - Pierre Aboulker, Guillaume Aubian:
Four proofs of the directed Brooks' Theorem. - Romain Loiseau, Tom Monnier, Loïc Landrieu, Mathieu Aubry:
Representing Shape Collections with Alignment-Aware Linear Models. - Georgios Germanos, Dimitris Kavallieros, Nicholas Kolokotronis, Nikolaos Georgiou:
Privacy Issues in Voice Assistant Ecosystems. - Md Washik Al Azad, Spyridon Mastorakis:
The Promise and Challenges of Computation Deduplication and Reuse at the Network Edge. - Konstantinos-Panagiotis Grammatikakis, Ioannis Koufos, Nicholas Kolokotronis, Costas Vassilakis, Stavros Shiaeles:
Understanding and Mitigating Banking Trojans: From Zeus to Emotet. - Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh:
Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning. - Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund:
Secure Source Coding with Side-information at Decoder and Shared Key at Encoder and Decoder. - Jared O'Leary, Joel A. Paulson, Ali Mesbah:
Stochastic Physics-Informed Neural Networks (SPINN): A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equations. - Nicolas Lanzetti, Maximilian Schiffer, Michael Ostrovsky, Marco Pavone:
On the Interplay between Self-Driving Cars and Public Transportation. - Peng Shi, Rui Zhang, He Bai, Jimmy Lin:
Cross-Lingual Training with Dense Retrieval for Document Retrieval. - Chao Chen, Wei Chen, Di Zhao, Sei Zhen Khong, Li Qiu:
The Singular Angle of Nonlinear Systems. - Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler R. Josephson, Joao Goncalves, Kenneth L. Clarkson, Nimrod Megiddo, Bachir El Khadir, Lior Horesh:
Integration of Data and Theory for Accelerated Derivable Symbolic Discovery. - Vladimir Braverman, Viska Wei, Samson Zhou:
Symmetric Norm Estimation and Regression on Sliding Windows. - (Withdrawn) Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding.
- Jeff Wen, Marshall Burke:
Wildfire smoke plume segmentation using geostationary satellite imagery. - Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le:
Finetuned Language Models Are Zero-Shot Learners. - Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. - Prashant Trivedi, Nandyala Hemachandra:
Multi-agent Natural Actor-critic Reinforcement Learning Algorithms. - Abinash Nayak:
Instabilities in Plug-and-Play (PnP) algorithms from a learned denoiser. - Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson:
Thompson Sampling for Bandits with Clustered Arms. - Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang:
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting. - Andrea M. Storås, Inga Strümke, Michael A. Riegler, Jakob Grauslund, Hugo Lewi Hammer, Anis Yazidi, Pål Halvorsen, Kjell G. Gundersen, Tor Paaske Utheim, Catherine Jackson:
Artificial Intelligence in Dry Eye Disease. - Gayathri Krishnamoorthy, Anamika Dubey:
Reinforcement Learning for Battery Energy Storage Dispatch augmented with Model-based Optimizer. - Hrishav Bakul Barua:
Data science and Machine learning in the Clouds: A Perspective for the Future. - Sheng He, Patricia Ellen Grant, Yangming Ou:
Global-Local Transformer for Brain Age Estimation. - Meysam Effati, Yu-Chen Sun, Hani E. Naguib, Goldie Nejat:
Multimodal Detection of COVID-19 Symptoms using Deep Learning & Probability-based Weighting of Modes. - Gerrit J. Rijken, René Cutura, Frank Heyen, Michael Sedlmair, Michael Correll, Jason Dykes, Noeska N. Smit:
Illegible Semantics: Exploring the Design Space of Metal Logos. - Anson Bastos, Manohar Kaul:
ALLWAS: Active Learning on Language models in WASserstein space. - Franz J. Brandenburg:
Straight-line Drawings of 1-Planar Graphs. - Pedro H. T. Gama, Hugo N. Oliveira, José Marcato Junior, Jefersson A. dos Santos:
Weakly Supervised Few-Shot Segmentation Via Meta-Learning. - Christine L. Borgman, Philip E. Bourne:
Why it takes a village to manage and share data. - Xianzhi Du, Yeqing Li, Yin Cui, Rui Qian, Jing Li, Irwan Bello:
Revisiting 3D ResNets for Video Recognition. - Liming Xu, Stephen Mak, Alexandra Brintrup:
Will bots take over the supply chain? Revisiting Agent-based supply chain automation. - Franco Blanchini, Carlos Andrés Devia, Giulia Giordano:
Structural polyhedral stability of a biochemical network is equivalent to finiteness of the associated generalised Petri net. - Salonik Resch, Anthony Gutierrez, Joon Suk Huh, Srikant Bharadwaj, Yasuko Eckert, Gabriel H. Loh, Mark Oskin, Swamit S. Tannu:
Accelerating Variational Quantum Algorithms Using Circuit Concurrency. - Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho:
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. - Mohammad Fasha:
Comparative Analysis for Quick Sort Algorithm under four Different Modes of Execution. - Ilia Karpov, Roman Marakulin:
Social Network Analysis of the Professional Community Interaction - Movie Industry Case. - Xiao Tang, Tianyu Wang, Chi-Wing Fu:
Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction. - Yiqing Hua, Armin Namavari, Kaishuo Cheng, Mor Naaman, Thomas Ristenpart:
Increasing Adversarial Uncertainty to Scale Private Similarity Testing. - Youjin Hwang, Donghoon Shin, Sion Baek, Bongwon Suh, Joonhwan Lee:
Applying the Persona of User's Family Member and the Doctor to the Conversational Agents for Healthcare. - Gilles Blanchard, Jean-Baptiste Fermanian:
Nonasymptotic one-and two-sample tests in high dimension with unknown covariance structure. - Kazuo Aoyama, Hiroshi Sawada:
Acceleration Method for Learning Fine-Layered Optical Neural Networks. - Benjamin Charles Germain Lee, Joshua Ortiz Baco, Sarah H. Salter, Jim Casey:
Navigating the Mise-en-Page: Interpretive Machine Learning Approaches to the Visual Layouts of Multi-Ethnic Periodicals. - Kunal Rao, Giuseppe Coviello, Min Feng, Biplob Debnath, Wang-Pin Hsiung, Murugan Sankaradass, Yi Yang, Oliver Po, Utsav Drolia, Srimat T. Chakradhar:
F3S: Free Flow Fever Screening. - Murugan Sankaradass, Kunal Rao, Srimat T. Chakradhar:
AppSlice: A system for application-centric design of 5G and edge computing applications. - Peiyuan Zhou, Andrew K. C. Wong, Yang Yang, Scott T. Leatherdale, Kate Battista, Zahid A. Butt, George Michalopoulos, Helen H. Chen:
Cohort Characteristics and Factors Associated with Cannabis Use among Adolescents in Canada Using Pattern Discovery and Disentanglement Method. - Holden Gordon, Thomas Lyp, Calvin Kimbro, Sara Tehranipoor:
A Novel IoT Sensor Authentication Using HaLo Extraction Method and Memory Chip Variability. - Tudor Mare, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Adrian Sandru, Bogdan Alexe, Marius Popescu, Radu Tudor Ionescu:
A realistic approach to generate masked faces applied on two novel masked face recognition data sets. - James F. Mullen Jr., Josh Mosier, Sounak Chakrabarti, Anqi Chen, Tyler White, Dylan P. Losey:
Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback. - March Boedihardjo, Thomas Strohmer, Roman Vershynin:
Privacy of synthetic data: a statistical framework. - Wonbong Jang, Lourdes Agapito:
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories. - Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell:
Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy. - Rakesh Chada, Pradeep Natarajan, Darshan Fofadiya, Prathap Ramachandra:
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models. - Mahdi Fahmideh, Graham Low, Ghassan Beydoun:
Conceptualising Cloud Migration Lifecycle. - Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio:
Data Augmentation for Cross-Domain Named Entity Recognition. - Abiodun Ayodeji, Wenhai Wang, Jianzhong Su, Jianquan Yuan, Xinggao Liu:
An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction. - Kenneth Joseph, Sarah Shugars, Ryan J. Gallagher, Jon Green, Alexi Quintana Mathé, Zijian An, David Lazer:
(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys. - Lakshmanan Nataraj, Chandrakanth Gudavalli, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B. S. Manjunath:
Seam Carving Detection and Localization using Two-Stage Deep Neural Networks. - Bencheng Wei:
Effective user intent mining with unsupervised word representation models and topic modelling. - Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Yang Liu:
SEC4SR: A Security Analysis Platform for Speaker Recognition. - Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen:
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms. - Prashant Gupta, Yiran Guo, Narasimha Boddeti, Bala Krishnamoorthy:
SFCDecomp: Multicriteria Optimized Tool Path Planning in 3D Printing using Space-Filling Curve Based Domain Decomposition. - Yongri Piao, Jian Wang, Miao Zhang, Zhengxuan Ma, Huchuan Lu:
To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection. - Ajim Uddin, Dan Zhou, Xinyuan Tao, Chia-Ching Chou, Dantong Yu:
MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization. - Aozhu Chen, Fan Hu, Zihan Wang, Fangming Zhou, Xirong Li:
What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID. - Limin Ma, Shudan Tian:
New Fourth Order Postprocessing Techniques for Plate Buckling Eigenvalues by Morley Element. - Yuling Jiao, Yanming Lai, Dingwei Li, Xiliang Lu, Yang Wang, Jerry Zhijian Yang:
Convergence Analysis for the PINNs. - Rathinamala Vijay, Gautham Prasad, Yinjia Huo, S. M. Sachin, T. V. Prabhakar:
Measurement-based Condition Monitoring of Railway Signaling Cables. - Pedro Cabalar, Martín Diéguez, Susana Hahn, Torsten Schaub:
Automata for dynamic answer set solving: Preliminary report. - Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Node Feature Kernels Increase Graph Convolutional Network Robustness. - Ricardo A. Delgadillo, Jingwei Hu, Haizhao Yang:
Multiscale and Nonlocal Learning for PDEs using Densely Connected RNNs. - Xiaotie Deng, Yuhao Li, David Henry Mguni, Jun Wang, Yaodong Yang:
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. - Sijie Mai, Ying Zeng, Shuangjia Zheng, Haifeng Hu:
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis. - Runnan Chen, Penghao Zhou, Wenzhe Wang, Nenglun Chen, Pai Peng, Xing Sun, Wenping Wang:
PR-Net: Preference Reasoning for Personalized Video Highlight Detection. - Rui Chen, Youwei Guo, Huafei Zheng, Hongyu Jiang:
A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion. - Lin Wang, Yujeong Chae, Kuk-Jin Yoon:
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation. - Agustinus Andriyanto, Robin Doss, Suhardi:
X-Driven Methodologies for SOA System Development - A Survey. - Jingyuan Yang, Jie Li, Xiumei Wang, Yuxuan Ding, Xinbo Gao:
Stimuli-Aware Visual Emotion Analysis. - Casper Hansen:
Representation Learning for Efficient and Effective Similarity Search and Recommendation. - Kamal Singh, Chandradeep Singh, Chia-Hsiang Lin:
Low SNR Capacity of Keyhole MIMO Channel in Nakagami-m Fading With Full CSI. - Stephan Gärttner, Faruk O. Alpak, Andreas Meier, Nadja Ray, Florian Frank:
Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS. - Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras:
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling. - Chenjie Wang, Chengyuan Li, Bin Luo, Wei Wang, Jun Liu:
RiWNet: A moving object instance segmentation Network being Robust in adverse Weather conditions. - Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde:
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation. - Ahmed Abbas, Paul Swoboda:
RAMA: A Rapid Multicut Algorithm on GPU. - Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou:
Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark. - Renxin Zhao, Shi Wang:
A review of Quantum Neural Networks: Methods, Models, Dilemma. - Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski:
On robustness of generative representations against catastrophic forgetting. - Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, Zhaopeng Cui:
Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering. - Jacobus Smit, Ed Plumb:
A Case Study of Agent-Based Models for Evolutionary Game Theory. - Wenjia Zhang, Lin Gui, Yulan He:
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic. - Md Mainuddin, Zhenhai Duan, Yingfei Dong:
Network Traffic Characteristics of IoT Devices in Smart Homes. - Shengyue Li, Wanrong Cao, Zhaopeng Hao:
On spectral Petrov-Galerkin method for solving fractional initial value problems in weighted Sobolev space. - Zhihao Gu, Yang Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Lizhuang Ma:
Spatiotemporal Inconsistency Learning for DeepFake Video Detection. - Aaditya Chandrasekhar, Krishnan Suresh:
Length Scale Control in Topology Optimization using Fourier Enhanced Neural Networks. - Zhe Lin, Xiaojun Wan:
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach. - Asish Satpathy, Satyajit Behari:
Customer 360-degree Insights in Predicting Chronic Diabetes. - Manish Goyal, Muqsit Azeem, Kumar Madhukar, R. Venkatesh:
Direct Construction of Program Alignment Automata for Equivalence Checking. - Wei Liu, Ziqing Xie, Wenfan Yi:
Nonmonotone Local Minimax Methods for Finding Multiple Saddle Points. - Ismail H. Toroslu:
Improving The Floyd-Warshall All Pairs Shortest Paths Algorithm. - Yuxiang Cui, Xiaolong Huang, Yue Wang, Rong Xiong:
Socially-Aware Multi-Agent Following with 2D Laser Scans via Deep Reinforcement Learning and Potential Field. - Samir Datta, Chetan Gupta, Rahul Jain, Anish Mukherjee, Vimal Raj Sharma, Raghunath Tewari:
Dynamic Meta-theorems for Distance and Matching. - Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, Noseong Park:
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting. - Gauthier Roy, Jules Dedieu, Capucine Bertrand, Alireza Moshayedi, Ali Mammadov, Stéphanie Petit, Saima Ben Hadj, Rutger H. J. Fick:
Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation. - Anindya Mondal, Mayukhmali Das:
Moving Object Detection for Event-based Vision using k-means Clustering. - Pedro R. S. Antunes:
A well conditioned Method of Fundamental Solutions. - Gianmario Fumagalli, Yannick Huber, Marcin Dymczyk, Roland Siegwart, Renaud Dubé:
Fast Image-Anomaly Mitigation for Autonomous Mobile Robots. - Peter C. Dillinger, Lorenz Hübschle-Schneider, Peter Sanders, Stefan Walzer:
Fast Succinct Retrieval and Approximate Membership using Ribbon. - Rohan Chandra, Dinesh Manocha:
GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and Merging. - Esther S. Daus, Markus Fellner, Ansgar Jüngel:
Random-batch method for multi-species stochastic interacting particle systems. - Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez:
Uncovering the Limits of Text-based Emotion Detection. - Boyang Lyu, Thuan Nguyen, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Barycenteric distribution alignment and manifold-restricted invertibility for domain generalization. - Mitchell Wortsman, Gabriel Ilharco, Mike Li, Jong Wook Kim, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt:
Robust fine-tuning of zero-shot models. - Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee:
Estimating the probabilities of causation via deep monotonic twin networks. - Wachirawit Ponghiran, Kaushik Roy:
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning. - Mengyu Liu, Hujun Yin:
Sparse Spatial Attention Network for Semantic Segmentation. - Ziqing Hu, Yihao Fang, Lizhen Lin:
Training Graph Neural Networks by Graphon Estimation. - Weijie Liu, Hongbo Chen, XiaoFeng Wang, Zhi Li, Danfeng Zhang, Wenhao Wang, Haixu Tang:
Understanding TEE Containers, Easy to Use? Hard to Trust. - Mingzhi Yu, Diane J. Litman, Shuang Ma, Jian Wu:
A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations. - Hadi Hosseini, Andrew Searns, Erel Segal-Halevi:
Ordinal Maximin Share Approximation for Goods. - Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang:
Audio-Visual Transformer Based Crowd Counting. - Sylwia Majchrowska, Iraklis Giannakis, Craig Warren, Antonios Giannopoulos:
Modelling Arbitrary Complex Dielectric Properties - an automated implementation for gprMax. - Alexey Letunovskiy, Vladimir Korviakov, Vladimir Polovnikov, Anastasiia Kargapoltseva, Ivan Mazurenko, Yepan Xiong:
ISyNet: Convolutional Neural Networks design for AI accelerator. - Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. - Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo:
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case. - Shreya Sharma, Samiya Caur, Hitkul, Ponnurangam Kumaraguru:
Influence of NaMo App on Twitter. - Hashim A. Hashim:
Asymptotically Stable Observer-based Controller for Attitude Tracking with Systematic Convergence. - Leandro Rodrigues de Souza, Rodrigo Nogueira, Roberto A. Lotufo:
On the ability of monolingual models to learn language-agnostic representations. - Yuping Fan:
Application Checkpoint and Power Study on Large Scale Systems. - Uriya Pesso, Koby Bibas, Meir Feder:
Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness.