hunoutl/paperlists huggingface dataset:
Title: Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
Authors: Weitong ZHANG, Dongruo Zhou, Quanquan Gu
Affiliations: Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Reward-Free Exploration;Model Based RL
Decision: Poster
Title: How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
Authors: Jingling Li, Mozhi Zhang, Keyulu Xu, John Dickerson, Jimmy Ba
Affiliations: Department of Computer Science, University of Toronto, Canada; Computer Science and Artiﬁcial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), Cambridge, MA 02139; Department of Computer Science, University of Maryland, College Park, MD 20740
Conference: nips 2021 (main track)
Keywords: noisy labels;architectural inductive bias;algorithmic alignment;graph neural networks
Decision: Poster
Title: STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
Authors: Prashant Khanduri, PRANAY SHARMA, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod Varshney
Affiliations: Syracuse University; The Ohio State University; Carnegie Mellon University; University of Minnesota; Indian Institute of Technology Kanpur
Conference: nips 2021 (main track)
Keywords: Distributed Non-Convex Optimization;Minibatch SGD;Local SGD
Decision: Poster
Title: Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
Authors: Bingyan Wang, Yuling Yan, Jianqing Fan
Affiliations: Princeton University
Conference: nips 2021 (main track)
Keywords: model-based reinforcement learning;vanilla Q-learning;linear transition model;sample complexity;leave-one-out analysis
Decision: Poster
Title: Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Authors: Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
Affiliations: School of Software, BNRist, Tsinghua University, China
Conference: nips 2021 (main track)
Keywords: Time Series Forecasting;Transformers;Deep Decomposition Model;Auto-Correlation
Decision: Poster
Title: Referring Transformer: A One-step Approach to Multi-task Visual Grounding
Authors: Muchen Li, Leonid Sigal
Affiliations: Department of Computer Science, University of British Columbia; Vector Institute for AI; CIFAR AI Chair; NSERC CRC Chair; Department of Computer Science, University of British Columbia; Vector Institute for AI
Conference: nips 2021 (main track)
Keywords: Computer Vision;Multi-modal Learning;Referring Expression Comprehension;Referring Expression Segmentation;Visual Grounding
Decision: Poster
Title: Dynamic Resolution Network
Authors: Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab; BUPT; State Key Lab of Computer Science, ISCAS & University of Chinese Academy of Sciences; Zhejiang University; School of Engineering, Westlake University
Conference: nips 2021 (main track)
Keywords: Convolutional neural network;imagenet
Decision: Poster
Title: Container: Context Aggregation Networks
Authors: peng gao, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi
Affiliations: Shanghai AI Laboratory, CUHK-SenseTime Joint Lab, CUHK; CUHK-SenseTime Joint Lab, CUHK; University of Washington, PRIOR @ Allen Institute for AI
Conference: nips 2021 (main track)
Keywords: Convolution;MLP-Mixer;Transformer
Decision: Poster
Title: HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Authors: Shiming Chen, Guosen Xie, Yang Liu, Qinmu Peng, Baigui Sun, Hao Li, Xinge You, Ling Shao
Affiliations: Huazhong University of Science and Technology (HUST), China; Mohamed bin Zayed University of AI (MBZUAI), UAE; Inception Institute of Artiﬁcial Intelligence (IIAI), UAE; Alibaba Group, Hangzhou, China
Conference: nips 2021 (main track)
Keywords: Zero-shot learning;Domain adaptation;Text-image matching;Heterogeneous feature representation
Decision: Poster
Title: Geometry Processing with Neural Fields
Authors: Guandao Yang, Serge Belongie, Bharath Hariharan, Vladlen Koltun
Affiliations: University of Copenhagen; Cornell University; Intel Labs
Conference: nips 2021 (main track)
Keywords: Geometric processing;Neural Implicit Fields;Implicit Representations;Implicit Fields;Shape Editing;Shape manipulation;Shape Smoothing and Sharpening
Decision: Poster
Title: LiRo: Benchmark and leaderboard for Romanian language tasks
Affiliations: West University of Timisoara; Alexandru Ioan Cuza University of Iasi; Military Technical Academy; Independent researcher; University of Bucharest; Politehnica University of Bucharest; DeepMind; Technical University of Cluj-Napoca; Feel IT Services; Deloitte
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: benchmark;NLP;Romanian language;debiasing
Decision: Poster
Title: VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments
Affiliations: Faculty of Computers and Artificial Intelligence, Cairo University, Egypt; School of Engineering and IT, University of New South Wales, Australia; Faculty of Engineering and IT, University of Technology Sydney, Australia; Medical Research Institute, Alexandria University, Egypt; Walter and Eliza Hall Institute of Medical Research, Australia
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Realistically simulated point cloud dataset
Decision: Reject
Title: Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
Authors: Dominic Richards, Ilja Kuzborskij
Affiliations: DeepMind, London, iljak@deepmind.com; Department of Statistics, University of Oxford, 24-29 St Giles’, Oxford, OX1 3LB, Dominic.Richards94@gmail.com
Conference: nips 2021 (main track)
Keywords: Gradient Descent;Neural Networks;Stability;Generalisation;Implicit Regularisation;Neural Tangent Kernel
Decision: Poster
Title: Reinforcement learning for optimization of variational quantum circuit architectures
Authors: Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
Affiliations: Leiden University, Leiden, The Netherlands.; Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland.; Warsaw University of Technology, Warsaw, Poland.; Institute for Theoretical Physics, University of Innsbruck, Innsbruck, Austria
Conference: nips 2021 (main track)
Keywords: Quantum Computing;Reinforcement Learning;Quantum Chemistry
Decision: Poster
Title: On the Estimation Bias in Double Q-Learning
Authors: Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang
Affiliations: Department of Computer Science, University of Illinois at Urbana-Champaign; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: nips 2021 (main track)
Keywords: Double Q-Learning;Estimation Bias
Decision: Poster
Title: CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
Authors: Dani Kiyasseh, Tingting Zhu, David Clifton
Affiliations: Department of Engineering Science, University of Oxford, Oxford, UK
Conference: nips 2021 (main track)
Keywords: supervised contrastive learning;cardiac signals;clustering;retrieval
Decision: Poster
Title: SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Authors: Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
Affiliations: Borealis AI; University of British Columbia; Google Research
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Graph Representation Learning;Graph Structure Learning;Self-supervision
Decision: Poster
Title: Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Authors: Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park
Affiliations: Pohang University of Science and Technology (POSTECH), South Korea
Conference: nips 2021 (main track)
Keywords: Generative Adversarial Networks;Conditional Image Generation;Adversarial Learning;Image Synthesis
Decision: Poster
Title: Multi-Facet Clustering Variational Autoencoders
Authors: Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C Holmes
Affiliations: University of Cambridge; University of Oxford; University of Manchester; University College London
Conference: nips 2021 (main track)
Keywords: multi-facet clustering;deep clustering;variational autoencoders;deep generative models
Decision: Poster
Title: Generalized Linear Bandits with Local Differential Privacy
Authors: Yuxuan Han, Zhipeng Liang, Yang Wang, Jiheng Zhang
Affiliations: Department of Mathematics, The Hong Kong University of Science and Technology; Department of Mathematics, Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology; Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology
Conference: nips 2021 (main track)
Keywords: Local Differential Privacy;Contextual Bandits;Online Decision Making
Decision: Poster
Title: Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Authors: Angtian Wang, Shenxiao Mei, Alan Yuille, Adam Kortylewski
Affiliations: Johns Hopkins University, Maryland, MD 21218, USA
Conference: nips 2021 (main track)
Keywords: 3D Pose Estimation;Semi-supervised Learning;Few-shot Learning;Neural Rendering;Analysis-by-Synthesis.
Decision: Poster
Title: UCB-based Algorithms for Multinomial Logistic Regression Bandits
Authors: Sanae Amani, Christos Thrampoulidis
Affiliations: University of California, Los Angeles; University of British Columbia
Conference: nips 2021 (main track)
Keywords: Generalized Linear Bandits;Logistic Bandits;Multinomial Logit (MNL);Upper Confidence Bound
Decision: Poster
Title: SkillBERT: "Skilling" the BERT to classify skills using Electronic Recruitment Records
Affiliations: PeopleStrong, New Delhi, India; Harvard University, Cambridge, MA, USA; Peoplestrong, New Delhi, India
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Competency;Electronic Recruitment Record;Recruitment;SkillBERT;Skill embeddings;Skill semantics
Decision: Reject
Title: Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Authors: Xiao Zhou, Weizhong Zhang, Zonghao Chen, SHIZHE DIAO, Tong Zhang
Affiliations: Hong Kong University of Science and Technology; Hong Kong University of Science and Technology, Jointly with Google Research; Tsinghua University
Conference: nips 2021 (main track)
Keywords: sparse training;deep learning;model compression;deep neural networks
Decision: Poster
Title: Entropic Desired Dynamics for Intrinsic Control
Authors: Steven Hansen, Guillaume Desjardins, Kate Baumli, David Warde-Farley, Nicolas Heess, Simon Osindero, Volodymyr Mnih
Affiliations: DeepMind
Conference: nips 2021 (main track)
Keywords: intrinsic control;skill discovery;exploration;unsupervised reinforcement learning
Decision: Poster
Title: SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables
Affiliations: Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science, Technical University of Darmstadt; Department of Computer and Information Science, UPenn
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Benchmark;Reasoning;Data-to-Text Generation;Scientific Articles
Decision: Poster
Title: Foundations of Symbolic Languages for Model Interpretability
Authors: Marcelo Arenas, Daniel Báez, Pablo Barceló, Jorge Pérez, Bernardo Subercaseaux
Affiliations: Department of Computer Science, PUC-Chile; Millennium Institute for Foundational Research on Data, Chile; Millennium Institute for Foundational Research on Data, Chile; Carnegie Mellon University, USA; Department of Computer Science, Universidad de Chile; Millennium Institute for Foundational Research on Data, Chile; Department of Computer Science, Universidad de Chile; Institute for Mathematical and Computational Engineering, PUC-Chile; Millennium Institute for Foundational Research on Data, Chile
Conference: nips 2021 (main track)
Keywords: language;interpretability;logic;complexity;decision trees;explainability
Decision: Spotlight
Title: Neural Algorithmic Reasoners are Implicit Planners
Authors: Andreea-Ioana Deac, Petar Veličković, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
Affiliations: Mila – Québec AI Institute, HEC Montréal; Faculty of Mathematics, University of Belgrade; Mila – Québec AI Institute, Université de Montréal; DeepMind
Conference: nips 2021 (main track)
Keywords: graph neural networks;value iteration;implicit planning;algorithmic bottleneck
Decision: Spotlight
Title: Towards Multi-Grained Explainability for Graph Neural Networks
Authors: Xiang Wang, Yingxin Wu, An Zhang, Xiangnan He, Tat-Seng Chua
Affiliations: University of Science and Technology of China; National University of Singapore; Sea-NExT Joint Lab, National University of Singapore
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Multi-grained Explainability;Feature Attribution
Decision: Poster
Title: Evaluating State-of-the-Art Classification Models Against Bayes Optimality
Authors: Ryan Theisen, Huan Wang, Lav Varshney, Caiming Xiong, Richard Socher
Affiliations: University of Illinois Urbana-Champaign; Salesforce Research; University of California, Berkeley; you.com
Conference: nips 2021 (main track)
Keywords: Bayes error;normalizing flows
Decision: Poster
Title: What can linearized neural networks actually say about generalization?
Authors: Guillermo Ortiz-Jimenez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Affiliations: ETH Zurich, Zurich, Switzerland; EPFL, Lausanne, Switzerland
Conference: nips 2021 (main track)
Keywords: Deep learning theory;NTK;generalization;inductive bias;linearized networks;neural tangent kernel
Decision: Poster
Title: Model Selection for Bayesian Autoencoders
Authors: Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin Bonilla, Maurizio Filippone
Affiliations: CSIRO’s Data61, The Australian National University, The University of Sydney (Australia); EURECOM (France)
Conference: nips 2021 (main track)
Keywords: Bayesian methods;Probabilistic models;Model selection;Bayesian Autoencoders
Decision: Poster
Title: A Geometric Analysis of Neural Collapse with Unconstrained Features
Authors: Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu
Affiliations: University of Michigan; University of Denver; Johns Hopkins University; Google Research
Conference: nips 2021 (main track)
Keywords: neural collapse;nonconvex optimization;low-dimensional model
Decision: Spotlight
Title: Federated-EM with heterogeneity mitigation and variance reduction
Authors: Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Geneviève Robin
Affiliations: Centre de Mathematiques Appliquees, Ecole Polytechnique, France; Institut Polytechnique de Paris; Centre de Mathematiques Appliquees, Ecole Polytechnique, France; CS Dpt, HSE University, Russian Federation; Laboratoire de Mathematiques et Modelisation d’Evry, Universite d’Evry Val d’Essonne; CNRS, Evry-Courcouronnes, France; Institut de Mathematiques de Toulouse, Universite de Toulouse; CNRS UPS, Toulouse, France
Conference: nips 2021 (main track)
Keywords: Expectation-Maximization;Federated Learning;Latent variables models
Decision: Poster
Title: Neural Latents Benchmark ‘21: Evaluating latent variable models of neural population activity
Affiliations: Princeton University; Columbia University; Stony Brook University; Georgia Institute of Technology; Carnegie Mellon University; University of Chicago; University of Pittsburgh; Emory University; Stanford University; Massachusetts Institute of Technology; Northwestern University; Neuralink Corp.
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: benchmark;computational neuroscience;latent variable models
Decision: Poster
Title: Hyperbolic Procrustes Analysis Using Riemannian Geometry
Authors: Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
Affiliations: Viterbi Faculty of Electrical and Computer Engineering, Technion; Program in Applied Mathematics, Yale University
Conference: nips 2021 (main track)
Keywords: Label-free data alignment;hyperbolic space;Riemannian geometry;Procrustes analysis;batch correction;domain adaptation
Decision: Poster
Title: DRIVE: One-bit Distributed Mean Estimation
Authors: Shay Vargaftik, Ran Ben-Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher
Affiliations: VMware Research; Harvard University; Ben-Gurion University; University College London; Stanford University
Conference: nips 2021 (main track)
Keywords: Distributed Mean Estimation;Stochastic Approximation;Federated Learning;Distributed Leaning;Communication Efficiency;Bandwidth Reduction
Decision: Poster
Title: Achieving Rotational Invariance with Bessel-Convolutional Neural Networks
Authors: Valentin Delchevalerie, Adrien Bibal, Benoît Frénay, Alexandre Mayer
Affiliations: PReCISE, NADI & naXys institutes, University of Namur, Belgium; Department of Physics, naXys institute, University of Namur, Belgium; PReCISE, NADI institute, University of Namur, Belgium
Conference: nips 2021 (main track)
Keywords: Rotational invariance;Convolutional neural networks;Bessel functions;Bessel-Convolutional neural networks
Decision: Poster
Title: When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking
Authors: Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
Affiliations: 1. Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS; 2. School of Computer Science and Tech., University of Chinese Academy of Sciences; Alibaba Group; 2. School of Computer Science and Tech., University of Chinese Academy of Sciences; 3. BDKM, University of Chinese Academy of Sciences; 1. Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS; 2. School of Computer Science and Tech., University of Chinese Academy of Sciences; 4. BDKM, University of Chinese Academy of Sciences; 5. Peng Cheng Laboratory
Conference: nips 2021 (main track)
Keywords: multipartite ranking;computer vision;deep learning;constrained metric
Decision: Poster
Title: Understanding and Improving Early Stopping for Learning with Noisy Labels
Authors: Yingbin Bai, Erkun Yang, Bo Han, Yanhua Yang, Jiatong Li, Yinian Mao, Gang Niu, Tongliang Liu
Affiliations: RIKEN AIP; TML Lab, University of Sydney; Hong Kong Baptist University; Xidian University; Meituan-Dianping Group
Conference: nips 2021 (main track)
Keywords: learning with noisy labels;weekly supervised learning
Decision: Poster
Title: Escaping Saddle Points with Compressed SGD
Authors: Dmitrii Avdiukhin, Grigory Yaroslavtsev
Affiliations: Department of Computer Science, George Mason University, Fairfax, VA 22030; Department of Computer Science, Indiana University, Bloomington, IN 47405
Conference: nips 2021 (main track)
Keywords: optimization;distributed optimization;nonconvex optimization;machine learning;gradient descent;saddle points
Decision: Poster
Title: Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems
Authors: Stefano Sarao Mannelli, Pierfrancesco Urbani
Affiliations: Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom; Université Paris-Saclay, CNRS, CEA, Institut de physique théorique, Gif-sur-Yvette, France
Conference: nips 2021 (main track)
Keywords: Momentum-based methods;statistical physics of learning;dynamical mean field theory;high-dimensional non-convex dynamics
Decision: Poster
Title: Encoding Spatial Distribution of Convolutional Features for Texture Representation
Authors: Yong Xu, Feng Li, Zhile Chen, Jinxiu Liang, Yuhui Quan
Affiliations: School of Computer Science and Engineering, South China University of Technology, China; Peng Cheng Laboratory, China; School of Computer Science and Engineering, South China University of Technology, China
Conference: nips 2021 (main track)
Keywords: Deep Learning;Feature Encoding;Global Pooling;Texture Representation
Decision: Poster
Title: Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement
Authors: Aming WU, Suqi Zhao, Cheng Deng, Wei Liu
Affiliations: School of Electronic Engineering, Xidian University, Xi'an, China; Tencent Data Platform
Conference: nips 2021 (main track)
Keywords: Few-Shot Object Detection;Generalization;Discrimination;Singular Value Decomposition;Dictionary Learning;Enhancement
Decision: Poster
Title: Scalable Inference of Sparsely-changing Gaussian Markov Random Fields
Authors: Salar Fattahi, Andres Gomez
Affiliations: Department of Industrial & System Engineering, University of Southern California, Los Angeles, CA 90089; Department of Industrial & Operations Engineering, University of Michigan, Ann Arbor, MI 48109
Conference: nips 2021 (main track)
Keywords: Markov Random Fields;Sparse inference;Discrete optimization
Decision: Poster
Title: Design of Experiments for Stochastic Contextual Linear Bandits
Authors: Andrea Zanette, Kefan Dong, Jonathan N Lee, Emma Brunskill
Affiliations: Department of Computer Science, Stanford University, Stanford, CA; EECS Department, University of California, Berkeley, Berkeley, CA
Conference: nips 2021 (main track)
Keywords: Linear bandits;design of experiments;stochastic linear bandits
Decision: Poster
Title: IRM—when it works and when it doesn't: A test case of natural language inference
Authors: Yana Dranker, He He, Yonatan Belinkov
Affiliations: New York University; Technion – Israel Institute of Technology
Conference: nips 2021 (main track)
Keywords: Causality;Natural Language Processing;Robustness;Natural Language Inference;Out-of-Distribution Generalization;Bias;Debiasing
Decision: Poster
Title: Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
Authors: Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie
Affiliations: Department of CEE, MIT, Cambridge, MA 02139; Department of EECS, MIT, Cambridge, MA 02139
Conference: nips 2021 (main track)
Keywords: min-max optimization;lower bound;oracle complexity
Decision: Poster
Title: T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
Authors: Changwoo Lee, Zhao Tang Luo, Huiyan Sang
Affiliations: Department of Statistics, Texas A&M University
Conference: nips 2021 (main track)
Keywords: Bayesian;Clustering;Fused Lasso;High-dimensional regression;Markov chain Monte Carlo;Shrinkage prior;Sparsity;Tree-based methods
Decision: Poster
Title: Continuous Latent Process Flows
Authors: Ruizhi Deng, Marcus Brubaker, Greg Mori, Andreas Lehrmann
Affiliations: Borealis AI; Borealis AI, York University, Vector Institute; Borealis AI, Simon Fraser University
Conference: nips 2021 (main track)
Keywords: continuous dynamics;time series;stochastic differential equation;normalizing flow
Decision: Poster
Title: On the Sample Complexity of Privately Learning Axis-Aligned Rectangles
Authors: Menachem Sadigurschi, Uri Stemmer
Affiliations: Blavatnik School of Computer Science, Tel Aviv University and Google Research; Department of Computer Science, Ben-Gurion University of the Negev
Conference: nips 2021 (main track)
Keywords: differential privacy;statistical learning;axis-aligned rectangles
Decision: Poster
Title: Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks
Authors: Dmitry Kovalev, Elnur Gasanov, Alexander Gasnikov, Peter Richtarik
Affiliations: MIPT†and ISP RAS‡; KAUST∗; KAUST
Conference: nips 2021 (main track)
Keywords: decentralized optimization;time-varying networks;ADOM;optimal algorithms;lower bounds;convex optimization
Decision: Poster
Title: Representation Learning for Event-based Visuomotor Policies
Authors: Sai Vemprala, Sami Mian, Ashish Kapoor
Affiliations: Microsoft Research, Redmond, WA - 98052; University of Pittsburgh, Pittsburgh, PA - 15260
Conference: nips 2021 (main track)
Keywords: Event cameras;Representation Learning;Reinforcement Learning;Variational Autoencoder
Decision: Spotlight