hunoutl/paperlists huggingface dataset:
Title: Non-asymptotic convergence bounds for Wasserstein approximation using point clouds
Authors: Quentin Mérigot, Filippo Santambrogio, Clément SARRAZIN
Affiliations: Univ Lyon, Université Claude Bernard Lyon 1, CNRS UMR 5208, Institut Camille Jordan, F-69622 Villeurbanne; Institut Universitaire de France; Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France; Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France; Institut Universitaire de France
Conference: nips 2021 (main track)
Keywords: Optimal transport;Wasserstein distance;Non-convex optimization;Polyak-Lojasiewicz inequality;Lloyd's algorithm;Point clouds
Decision: Poster
Title: An Information-theoretic Approach to Distribution Shifts
Authors: Marco Federici, Ryota Tomioka, Patrick Forré
Affiliations: AI4Science Lab, AMLab, University of Amsterdam; AMLab, University of Amsterdam; Microsoft Research, Cambridge, UK
Conference: nips 2021 (main track)
Keywords: Information Theory;Selection Bias;Representation Learning;Distribution Shift;Fair Machine Learning
Decision: Poster
Title: MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Authors: Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar
Affiliations: University of California, Los Angeles; University of Cambridge; University of Oxford, Oxford, United Kingdom; University of Cambridge, University of California, Los Angeles, The Alan Turing Institute
Conference: nips 2021 (main track)
Keywords: Missing data;Multiple imputation;Deep learning
Decision: Poster
Title: Chest ImaGenome Dataset for Clinical Reasoning
Affiliations: Rensselaer Polytechnic Institute, Troy, NY 12180, USA; Albert Einstein Healthcare Network-Philadelphia Campus, PA 19141, USA; Harvard Medical School, Boston, MA 02115, USA; Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA; IBM Almaden Research Center, San Jose, CA 95120, USA; MIT Critical Data, Cambridge, MA 02139, USA
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Chest X-ray;Scene Graph;CXR Dataset;Medical Radiology;Medical Imaging
Decision: Poster
Title: Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
Authors: Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu
Affiliations: University of California Berkeley; Peking University; University of Electronic Science and Technology of China
Conference: nips 2021 (main track)
Keywords: Spiking Neural Networks;Surrogate Gradients
Decision: Poster
Title: Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
Authors: Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
Affiliations: Dept of Computer Science, ETH Zürich; Microsoft Research, Cambridge, UK
Conference: nips 2021 (main track)
Keywords: Bayesian Neural Networks;Cold Posterior;Curation;Data-Augmentation;Prior
Decision: Poster
Title: Inverse Problems Leveraging Pre-trained Contrastive Representations
Authors: Sriram Ravula, Georgios Smyrnis, Matt Jordan, Alex Dimakis
Affiliations: The University of Texas at Austin, Electrical and Computer Engineering; The University of Texas at Austin, Computer Science
Conference: nips 2021 (main track)
Keywords: Inverse Problems;Representation Learning;Contrastive Learning;Robustness
Decision: Poster
Title: Local Hyper-Flow Diffusion
Authors: Kimon Fountoulakis, Pan Li, Shenghao Yang
Affiliations: School of Computer Science, University of Waterloo, Waterloo, ON, Canada; Department of Computer Science, Purdue University, West Lafayette, IN, United States
Conference: nips 2021 (main track)
Keywords: Hypergraph;diffusion algorithm;local graph clustering
Decision: Poster
Title: The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
Authors: Peter Hase, Harry Xie, Mohit Bansal
Affiliations: Department of Computer Science, University of North Carolina at Chapel Hill
Conference: nips 2021 (main track)
Keywords: feature importance;interpretability;explainability;social alignment;search methods;feature attribution;salience methods
Decision: Poster
Title: LEADS: Learning Dynamical Systems that Generalize Across Environments
Authors: Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari
Affiliations: Sorbonne Université, Paris, France; Sorbonne Université, Paris, France; ThereSIS Lab, Thales, Paris, France; Sorbonne Université, Paris, France; Criteo AI Lab, Paris, France
Conference: nips 2021 (main track)
Keywords: differential equation;data-driven;neural network;generalization
Decision: Poster
Title: SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
Authors: Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao
Affiliations: School of Computer Science, Guangdong University of Technology, Guangzhou, China; School of Computer Science, Guangdong University of Technology, Guangzhou, China; Peng Cheng Laboratory, Shenzhen, China; School of Computer Science, Guangdong University of Technology, Guangzhou, China; College of Science, Shantou University, Shantou, China
Conference: nips 2021 (main track)
Keywords: Graph Aggregation Network;Graph Neural Network;Text-to-SQL
Decision: Poster
Title: Dimension-free empirical entropy estimation
Authors: Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer
Affiliations: Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel; JSPS International Research Fellow, Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, Tokyo, Japan; Department of Computer Science, Hebrew University, Jerusalem, Israel
Conference: nips 2021 (main track)
Keywords: entropy;estimation;dimension-free
Decision: Poster
Title: Online and Offline Reinforcement Learning by Planning with a Learned Model
Authors: Julian Schrittwieser, Thomas Hubert, Amol Mandhane, Mohammadamin Barekatain, Ioannis Antonoglou, David Silver
Affiliations: DeepMind, University College London; DeepMind
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Deep Learning
Decision: Spotlight
Title: Rethinking the Pruning Criteria for Convolutional Neural Network
Authors: Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo
Affiliations: Sun Yat-Sen University; The University of Hong Kong; The Chinese University of Hong Kong; SenseTime Research
Conference: nips 2021 (main track)
Keywords: Pruning Criteria;Similarity;Applicability;Convolutional Filter;Weight Distribution
Decision: Poster
Title: Do Different Tracking Tasks Require Different Appearance Models?
Authors: Zhongdao Wang, Hengshuang Zhao, Ya-Li Li, Shengjin Wang, Philip Torr, Luca Bertinetto
Affiliations: Torr Vision Group, University of Oxford, The University of Hong Kong; Five AI; Torr Vision Group, University of Oxford; Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University
Conference: nips 2021 (main track)
Keywords: tracking;self-supervised learning
Decision: Poster
Title: On Inductive Biases for Heterogeneous Treatment Effect Estimation
Authors: Alicia Curth, Mihaela van der Schaar
Affiliations: University of Cambridge; University of Cambridge, University of California, Los Angeles, The Alan Turing Institute
Conference: nips 2021 (main track)
Keywords: heterogeneous treatment effects;potential outcomes;causal inference;counterfactual estimation
Decision: Spotlight
Title: Bounds all around: training energy-based models with bidirectional bounds
Authors: Cong Geng, Jia Wang, Zhiyong Gao, Jes Frellsen, Søren Hauberg
Affiliations: Technical University of Denmark; Shanghai Jiao Tong University
Conference: nips 2021 (main track)
Keywords: energy-based model;density estimation;bidirectional bounds;Jacobi-determinant estimator
Decision: Poster
Title: Meta-Learning Reliable Priors in the Function Space
Authors: Jonas Rothfuss, Dominique Heyn, jinfan Chen, Andreas Krause
Affiliations: ETH Zurich
Conference: nips 2021 (main track)
Keywords: Transfer;Meta-Learning;Life-Long Learning;Bayesian Optimization;AutoML;Hyper-Parameter Tuning;Hyper-Parameter Optimization;Continual Learning
Decision: Poster
Title: Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
Authors: Yi-Shan Wu, Andres Masegosa, Stephan Lorenzen, Christian Igel, Yevgeny Seldin
Affiliations: University of Copenhagen; University of Aalborg
Conference: nips 2021 (main track)
Keywords: Weighted Majority Vote;PAC-Bayes;Learning Theory
Decision: Poster
Title: Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Authors: Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
Affiliations: Facebook AI; Institute for Artiﬁcial Intelligence, Peking University; Beijing Institute for General Artiﬁcial Intelligence; Department of Computer Science, Purdue University
Conference: nips 2021 (main track)
Keywords: theory;GNN;link prediction
Decision: Poster
Title: Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
Authors: Yang Zhang, Ashkan Khakzar, Yawei Li, Azade Farshad, Seong Tae Kim, Nassir Navab
Affiliations: Kyung Hee University, South Korea; Technical University of Munich; LMU University Hospital, Munich
Conference: nips 2021 (main track)
Keywords: Feature attribution;Interpretability;Explainable AI
Decision: Poster
Title: CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration
Authors: Hao Yu, Fu Li, Mahdi Saleh, Benjamin Busam, Slobodan Ilic
Affiliations: Technical University of Munich; Technical University of Munich, National University of Defense Technology; Technical University of Munich, Siemens AG, München
Conference: nips 2021 (main track)
Keywords: Point cloud Matching;Point Cloud Registration;Coarse-to-fine Mechanism;Deep Neural Networks
Decision: Poster
Title: Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Authors: Sheheryar Zaidi, Arber Zela, Thomas Elsken, Chris C Holmes, Frank Hutter, Yee Teh
Affiliations: University of Oxford; Bosch Center for Artiﬁcial Intelligence; University of Freiburg
Conference: nips 2021 (main track)
Keywords: uncertainty estimation;deep ensemble;dataset shift;robustness;uncertainty calibration;Bayesian neural networks
Decision: Poster
Title: A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
Authors: Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
Affiliations: Northwestern University; University of Minnesota; Princeton University; CUHK
Conference: nips 2021 (main track)
Keywords: stochastic bilevel optimization;non-convex optimization;single time-scale stochastic approximation
Decision: Poster
Title: A Max-Min Entropy Framework for Reinforcement Learning
Authors: Seungyul Han, Youngchul Sung
Affiliations: School of Electrical Engineering, KAIST, Daejeon, South Korea 34141; Graduate School of Artiﬁcial Intelligence, UNIST, Ulsan, South Korea 44919
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;entropy regularization;max-min optimization framework;exploration
Decision: Poster
Title: Neural Bootstrapper
Authors: Minsuk Shin, Hyungjoo Cho, Hyun-seok Min, Sungbin Lim
Affiliations: Artiﬁcial Intelligence Graduate School, UNIST; Department of Statistics, University of South Carolina; Tomocube Inc.; Department of Transdisciplinary Studies, Seoul National University
Conference: nips 2021 (main track)
Keywords: Bootstrapping;Uncertainty Estimation
Decision: Poster
Title: Two steps to risk sensitivity
Authors: Christopher Gagne, Peter Dayan
Affiliations: MPI for Biological Cybernetics, Tübingen, Germany; MPI for Biological Cybernetics, University of Tübingen, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: Risk measures;Conditional value-at-risk;Two-step task;Time-consistency;Distributional reinforcement learning;Anxiety
Decision: Spotlight
Title: Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
Authors: Sameera Ramasinghe, Moshiur Farazi, Salman H Khan, Nick Barnes, Stephen Gould
Affiliations: The Australian National University, Data61-CSIRO; Mohamed Bin Zayed University; The Australian National University; Data61-CSIRO
Conference: nips 2021 (main track)
Keywords: Generative modeling;Multimodal output spaces;Conditional generative models
Decision: Poster
Title: A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
Authors: Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
Affiliations: Tsinghua-Berkeley Shenzhen Institute, Tsinghua University; Massachusetts Institute of Technology
Conference: nips 2021 (main track)
Keywords: Transfer Learning;Transferability;Sample Complexity
Decision: Poster
Title: Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers
Affiliations: Université de Montréal / Mila; Avignon Université; McGill University / Mila; Université Paul Sabatier, IRIT, CNRS; Arizona State University
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: spoken language understanding;speech recognition;open source data
Decision: Poster
Title: Towards Enabling Meta-Learning from Target Models
Authors: Su Lu, Han-Jia Ye, Le Gan, De-Chuan Zhan
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China
Conference: nips 2021 (main track)
Keywords: Meta-Learning;Few-Shot Learning;Model Matching;Knowledge Distillation
Decision: Poster
Title: PSD Representations for Effective Probability Models
Authors: Alessandro Rudi, Carlo Ciliberto
Affiliations: Department of Computer Science, University College London, London, UK; Inria, École normale supérieure, CNRS, PSL Research University, Paris, France
Conference: nips 2021 (main track)
Keywords: Kernel methods;Statistical Learning Theory;Positive Definite Models;Probabilistic Inference;Bayesian Inference;Decision Theory;Density Estimation;Probability Representation
Decision: Poster
Title: Dynamics-regulated kinematic policy for egocentric pose estimation
Authors: Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani
Affiliations: Keio University; Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: Egocentric human pose estimation;Physics Simulation;augmented reality;humanoid control;kinematics and dynamics
Decision: Poster
Title: Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Authors: Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Affiliations: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics; MIIT Key Laboratory of Pattern Analysis and Machine Intelligence; College of Computer Science, Chongqing University; JD AI Research
Conference: nips 2021 (main track)
Keywords: adversarial examples;adversarial training;data poisoning;delusive attacks;Wasserstein distance
Decision: Poster
Title: TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Authors: Shengcai Liao, Ling Shao
Affiliations: Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE
Conference: nips 2021 (main track)
Keywords: Transformer;Deep Image Matching;Deep Metric Learning;Person Re-Identification;Generalizable Person Re-Identification;Domain Generalization
Decision: Poster
Title: On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
Authors: Yifan Hu, Xin Chen, Niao He
Affiliations: Optimization and Decision Intelligence (ODI) Group, Department of Computer Science, ETH Zürich; Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign
Conference: nips 2021 (main track)
Keywords: stochastic optimization;multilevel Monte Carlo;bias variance and cost tradeoff;biased first-order methods
Decision: Poster
Title: On the Frequency Bias of Generative Models
Authors: Katja Schwarz, Yiyi Liao, Andreas Geiger
Affiliations: Autonomous Vision Group, University of Tübingen and MPI for Intelligent Systems
Conference: nips 2021 (main track)
Keywords: GAN;Generative Models;Generative Adversarial Networks;Deepfakes;Frequency Bias;High-Frequency Artifacts;Spectrum Discrepancies;Spectrum;Frequency
Decision: Poster
Title: Efficient Statistical Assessment of Neural Network Corruption Robustness
Authors: Karim TIT, Teddy Furon, Mathias ROUSSET
Affiliations: Thales Land and Air Systems, BU IAS, Rennes, France; Univ. Rennes, Inria, CNRS, IRISA, Rennes, France; Univ. Rennes, Inria, CNRS, IRISA, Rennes, France; Univ. Rennes, Inria, CNRS, IRMAR, Rennes, France
Conference: nips 2021 (main track)
Keywords: deep learning;robustess;reliability;Monte Carlo
Decision: Poster
Title: Multi-Label Learning with Pairwise Relevance Ordering
Authors: Ming-Kun Xie, Sheng-Jun Huang
Affiliations: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing, 211106
Conference: nips 2021 (main track)
Keywords: multi-label learning;pairwise relevance ordering;unbiased estimator;consistency
Decision: Poster
Title: Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
Authors: Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
Affiliations: University of Massachusetts Amherst; University College London; Chinese University of Hong Kong
Conference: nips 2021 (main track)
Keywords: Bandits;Regret;Multi-agent learning
Decision: Poster
Title: DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks
Authors: Wei Sun, Aojun Zhou, Sander Stuijk, Rob Wijnhoven, Andrew Nelson, Hongsheng Li, Henk Corporaal
Affiliations: CUHK-Sensetime Joint Lab, CUHK; Eindhoven University of Technology; ViNotion B.V., the Netherlands
Conference: nips 2021 (main track)
Keywords: Sparsity;N:M Sparsity;Pruning.
Decision: Poster
Title: Adversarial Feature Desensitization
Authors: Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake Richards, Irina Rish
Affiliations: MILA, Université de Montréal, Montreal, Canada; McGill University, Montreal, Canada
Conference: nips 2021 (main track)
Keywords: adversarial robustness;adversarial learning;adversarial examples;domain adaptation
Decision: Poster
Title: Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
Authors: Yutong He, Dingjie Wang, Nicholas Lai, William Zhang, Chenlin Meng, Marshall Burke, David Lobell, Stefano Ermon
Affiliations: Stanford University
Conference: nips 2021 (main track)
Keywords: Remote Sensing;Super-Resolution;Generative Models
Decision: Poster
Title: Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Authors: Gavin Brown, Marco Gaboardi, Adam Smith, Jonathan Ullman, Lydia Zakynthinou
Affiliations: Department of Computer Science, Boston University; Khoury College of Computer Sciences, Northeastern University
Conference: nips 2021 (main track)
Keywords: Differential Privacy;Mean Estimation;Gaussian Estimation;Tukey Depth;Statistical Learning Theory
Decision: Spotlight
Title: Boosted CVaR Classification
Authors: Runtian Zhai, Chen Dan, Arun Suggala, J. Zico Kolter, Pradeep Ravikumar
Affiliations: School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA 15213
Conference: nips 2021 (main track)
Keywords: fairness;tail performance;boosting;ensemble methods
Decision: Poster
Title: Extracting Deformation-Aware Local Features by Learning to Deform
Authors: Guilherme Potje, Renato Martins, Felipe Chamone, Erickson Nascimento
Affiliations: Department of Computer Science, Universidade Federal de Minas Gerais, Brazil; Universidade Federal de Minas Gerais; VIBOT EMR CNRS 6000, ImViA, Université Bourgogne Franche-Comté, France
Conference: nips 2021 (main track)
Keywords: Local descriptors;Non-rigid matching;Deformation;Spatial Transformers
Decision: Poster
Title: ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
Authors: Kuan-Lin Chen, Ching-Hua Lee, Harinath Garudadri, Bhaskar D Rao
Conference: nips 2021 (main track)
Keywords: optimization;local minima;residual networks;densely connected networks;nonlinear estimation
Decision: Poster
Title: Dynamic Inference with Neural Interpreters
Authors: Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf
Affiliations: Amazon Web Services; Max-Planck-Institute for Intelligent Systems, Tübingen; Mila, Québec
Conference: nips 2021 (main track)
Keywords: Modular Architectures;Attention Networks;Neural Networks;Abstract Reasoning;Systematic Generalisation.
Decision: Poster
Title: Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
Authors: Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang
Affiliations: University of Wisconsin-Madison; Northwestern University; Princeton University
Conference: nips 2021 (main track)
Keywords: Reinforcement learning;risk-sensitive reinforcement learning
Decision: Poster
Title: Turing Completeness of Bounded-Precision Recurrent Neural Networks
Authors: Stephen Chung, Hava Siegelmann
Affiliations: Department of Computer Science, University of Massachusetts Amherst, Amherst, MA 01003
Conference: nips 2021 (main track)
Keywords: Recurrent Neural Network;Stack Recurrent Neural Network;Neural Turing Machine;Turing Complete;Turing machine;Memory
Decision: Poster
Title: Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
Authors: Junsu Kim, Younggyo Seo, Jinwoo Shin
Affiliations: School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST); Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST)
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Hierarchical Reinforcement Learning
Decision: Poster
Title: Learning Large Neighborhood Search Policy for Integer Programming
Authors: Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
Affiliations: Singapore Institute of Manufacturing Technology, A*STAR, Singapore; Shandong University, Qingdao, China; SCALE@NTU Corp Lab, Nanyang Technological University, Singapore; Nanyang Technological University, Singapore
Conference: nips 2021 (main track)
Keywords: Deep Reinforcement Learning;Integer Programming;Large Neighborhood Search
Decision: Spotlight
Title: A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
Authors: Christoph Dann, Mehryar Mohri, Tong Zhang, Julian Zimmert
Affiliations: Google Research and NYU; Google Research and HKUST; Google Research
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Posterior Sampling;Regret Bounds;Theory
Decision: Poster
Title: Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Authors: Seongjun Yun, Seoyoon Kim, Junhyun Lee, Jaewoo Kang, Hyunwoo Kim
Affiliations: Department of Computer Science and Engineering, Korea University
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Link Prediction;Graph Structure;Common Neighbors
Decision: Poster
Title: Non-asymptotic Error Bounds for Bidirectional GANs
Authors: Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang
Affiliations: School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, China 430072; Department of Statistics and Actuarial Science, University of Iowa, Iowa City, IA 52242, USA; Department of Mathematics, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
Conference: nips 2021 (main track)
Keywords: Convergence analysis;Dudley distance;empirical process;function approximation;neural networks
Decision: Poster
Title: Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
Affiliations: University of Oxford; Alibaba Group; Alibaba Group, University of Oxford; Huazhong University of Science and Technology; Cornell University; Johns Hopkins University
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Video instance segmentation;Occlusion understanding;Dataset;Challenge;Benchmark
Decision: Poster