hunoutl/paperlists huggingface dataset:
Title: Hardware Design and Accurate Simulation of Structured-Light Scanning for Benchmarking of 3D Reconstruction Algorithms
Affiliations: TU Berlin; New York University
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Structured-Light Scanning;Structured Light Scanning;3D Scanning;Surface Reconstruction;3D Scanning Benchmark;Range Scan Completion;Shape Completion;Scan Denoising
Decision: Poster
Title: NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Authors: Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu
Affiliations: Microsoft, Bellevue WA, 98004; Colorado School of Mines, Golden, CO 80401; Microsoft, Bellevue, WA 98004
Conference: nips 2021 (main track)
Keywords: Efficient Inference Methods;Model Compression;Sparsification;Transformer;Natural Language Processing
Decision: Poster
Title: The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
Authors: Daniel LeJeune, Hamid Javadi, Richard Baraniuk
Affiliations: Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005
Conference: nips 2021 (main track)
Keywords: sparsity;deep learning;dropout;regularization;adaptive
Decision: Poster
Title: A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Authors: Chin-Wei Huang, Jae Hyun Lim, Aaron Courville
Affiliations: University of Montreal & Mila
Conference: nips 2021 (main track)
Keywords: Diffusion model;Neural SDE;Neural ODE;normalizing flows;score matching;hierarchical VAE;generative modelling;maximum likelihood;variational lower bound
Decision: Spotlight
Title: Sharp Impossibility Results for Hyper-graph Testing
Authors: Jiashun Jin, Zheng Tracy Ke, Jiajun Liang
Affiliations: Harvard University; Purdue University; Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: community detection;social network;Degree-corrected Mix-membership model;non-uniform hypergraph;global testing;minimax lower bound;region of impossibility;tensor scaling;degree matching;SBM;tensor
Decision: Poster
Title: Exploiting Domain-Specific Features to Enhance Domain Generalization
Authors: Manh-Ha Bui, Toan Tran, Anh Tran, Dinh Phung
Affiliations: VinAI Research, Vietnam; VinAI Research, Vietnam and Monash University, Australia
Conference: nips 2021 (main track)
Keywords: Representation Learning;Domain Generalization
Decision: Poster
Title: Nearly Horizon-Free Offline Reinforcement Learning
Authors: Tongzheng Ren, Jialian Li, Bo Dai, Simon Du, Sujay Sanghavi
Affiliations: University of Washington; UT Austin, Amazon Search; UT Austin; Google Research, Brain Team; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Offline Reinforcement Learning;Statistical Reinforcement Learning;Horizon-free;Reinforcement Learning Theory
Decision: Poster
Title: Parallel and Efficient Hierarchical k-Median Clustering
Authors: Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard, Christian Sohler, Ola Svensson
Affiliations: University of Cologne; EPFL; Google Research
Conference: nips 2021 (main track)
Keywords: Clustering;k-Median;Hierarchical
Decision: Poster
Title: Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Authors: Rabeeh Karimi Mahabadi, James Henderson, Sebastian Ruder
Affiliations: Idiap Research Institute; EPFL University, Idiap Research Institute; DeepMind
Conference: nips 2021 (main track)
Keywords: parameter-compact fine-tuning methods;adapters;low-rank methods;hypercomplex multiplication layers;adapting large-scale language models
Decision: Poster
Title: Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Authors: Kibeom Kim, Min Whoo Lee, Yoonsung Kim, JeHwan Ryu, Minsu Lee, Byoung-Tak Zhang
Affiliations: Seoul National University; Seoul National University, Surromind; Seoul National University, AIIS†
Conference: nips 2021 (main track)
Keywords: goal-aware;attention;reinforcement learning;multi-target environment;visual navigation;manipulation
Decision: Poster
Title: You Never Cluster Alone
Authors: Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip Torr, Ling Shao
Affiliations: Inception Institute of Artiﬁcial Intelligence; University of Oxford; University College London; Nanjing University of Aeronautics and Astronautics; eBay
Conference: nips 2021 (main track)
Keywords: Unsupervised Clustering;Unsupervised Learning;Deep Learning
Decision: Poster
Title: R-Drop: Regularized Dropout for Neural Networks
Authors: xiaobo liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu
Affiliations: Microsoft Research Asia; Soochow University
Conference: nips 2021 (main track)
Keywords: Regularization;Dropout;Simple
Decision: Poster
Title: Personalized Federated Learning With Gaussian Processes
Authors: Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
Affiliations: Bar-Ilan University, Israel; NVIDIA, Israel; Bar-Ilan University, Israel
Conference: nips 2021 (main track)
Keywords: Gaussian Processes;Federated Learning;Deep Kernel Learning
Decision: Poster
Title: Searching for Efficient Transformers for Language Modeling
Authors: David So, Wojciech Mańke, Hanxiao Liu, Zihang Dai, Noam Shazeer, Quoc V Le
Affiliations: Google Research, Brain Team
Conference: nips 2021 (main track)
Keywords: language modeling;lm;transformer;automl;architecture search;nas;primer
Decision: Poster
Title: On the Theory of Reinforcement Learning with Once-per-Episode Feedback
Authors: Niladri Chatterji, Aldo Pacchiano, Peter Bartlett, Michael Jordan
Affiliations: Stanford University; Microsoft Research; UC Berkeley
Conference: nips 2021 (main track)
Keywords: theoretical reinforcement learning;regret analysis;statistical learning theory;non-Markovian rewards;optimistic algorithms
Decision: Poster
Title: Variational Model Inversion Attacks
Authors: Kuan-Chieh Wang, YAN FU, Ke Li, Ashish Khisti, Richard Zemel, Alireza Makhzani
Affiliations: Simon Fraser University; University of Toronto; University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: model inversion attacks;generative models;variational inference;generative adversarial networks
Decision: Poster
Title: Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
Authors: Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham Taylor, Jaesik Park, Minsu Cho
Affiliations: POSTECH; University of Guelph; POSCO; Vector Institute
Conference: nips 2021 (main track)
Keywords: Combinatorial construction;Sequential assembly;Deep reinforcement learning
Decision: Poster
Title: Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Authors: Miltiadis Kofinas, Naveen Nagaraja, Stratis Gavves
Affiliations: University of Amsterdam; BMW Group
Conference: nips 2021 (main track)
Keywords: Trajectory forecasting;interacting dynamical systems;graph neural networks;roto-translation equivariance;equivariance;invariance;geometric graphs
Decision: Poster
Title: Metropolis-Hastings Data Augmentation for Graph Neural Networks
Authors: Hyeonjin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo Kim
Affiliations: NAVER CLOVA, NAVER AI LAB; Korea University
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Augmentation;Metropolis-Hastings
Decision: Poster
Title: Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
Authors: Nanbo Li, Muhammad Ahmed Raza, Wenbin Hu, Zhaole Sun, Robert Fisher
Affiliations: School of Informatics, University of Edinburgh
Conference: nips 2021 (main track)
Keywords: Object-centric Representation Learning;Deep Generative Models;Computer Vision
Decision: Poster
Title: Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Authors: Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
Affiliations: University of Illinois at Urbana–Champaign; Fudan University; University of Copenhagen; Xidian University; Sony AI
Conference: nips 2021 (main track)
Keywords: Backdoor Defense;Deep Neural Networks;Anti-backdoor learning
Decision: Poster
Title: Learning to Predict Trustworthiness with Steep Slope Loss
Authors: Yan Luo, Yongkang Wong, Mohan Kankanhalli, Qi Zhao
Affiliations: School of Computing, National University of Singapore; Department of Computer Science & Engineering, University of Minnesota
Conference: nips 2021 (main track)
Keywords: Deep leearning;Classification;Trustworthiness
Decision: Poster
Title: Fast Pure Exploration via Frank-Wolfe
Authors: Po-An Wang, Ruo-Chun Tzeng, Alexandre Proutiere
Affiliations: EECS and Digital Futures, KTH, Stockholm, Sweden; KTH Royal Institute of Technology, Stockholm, Sweden
Conference: nips 2021 (main track)
Keywords: pure exploration;Frank-Wolfe;structured bandits
Decision: Poster
Title: Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence
Authors: Dachao Lin, Haishan Ye, Zhihua Zhang
Affiliations: School of Mathematical Sciences, Peking University; Huawei Noah’s Ark Lab; Academy for Advanced Interdisciplinary Studies, Peking University; School of Management, Xi’an Jiaotong University; Shenzhen Research Institute of Big Data
Conference: nips 2021 (main track)
Keywords: quasi-Newton methods;superlinear convergence;local convergence;convex optimziation
Decision: Poster
Title: Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration
Authors: Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
Affiliations: Department of Computing Science, University of Alberta, Canada; Department of Computer Science and Technology, Nanjing University, China; Institute for Interdisciplinary Information Sciences, Tsinghua University, China; Fuxi AI Lab, NetEase, China
Conference: nips 2021 (main track)
Keywords: multi-agent reinforcement learning;multi-agent exploration;episodic control
Decision: Poster
Title: Imitation with Neural Density Models
Authors: Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon
Affiliations: NELN, School of Aerospace Engineering, Tsinghua University; Department of Computer Science, Stanford University
Conference: nips 2021 (main track)
Keywords: Imitation Learning;Reinforcement Learning;Density Estimation;Density Model;Maximum Entropy RL;Mujoco
Decision: Poster
Title: Adversarial Robustness with Non-uniform Perturbations
Authors: Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergul Aydore
Affiliations: Amazon Web Services; Imperial College London
Conference: nips 2021 (main track)
Keywords: Adversarial robustness;adversarial attacks;projected gradient descent;certified robustness;randomized smoothing
Decision: Poster
Title: Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Authors: Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Xu
Affiliations: Department of Statistics, University of California, Berkeley; Department of Statistics, Stanford University; Electronics & Communications Sciences Unit, Indian Statistical Institute; Department of Statistical Science, Duke University
Conference: nips 2021 (main track)
Keywords: k-means;median of means;metric entropy bounds;Bregman divergences;Iterative optimization
Decision: Spotlight
Title: Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Authors: Jean Tarbouriech, Runlong Zhou, Simon Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Affiliations: Facebook AI Research & Inria Lille; Facebook AI Research Paris; University of Washington & Facebook AI Research; DeepMind Paris; Tsinghua University
Conference: nips 2021 (main track)
Keywords: regret minimization;stochastic shortest path;reinforcement learning theory;minimax optimal
Decision: Spotlight
Title: Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Authors: Yushi Bai, Zhitao Ying, Hongyu Ren, Jure Leskovec
Affiliations: Stanford University; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Machine Learning;Knowledge Graph;Hyperbolic Embedding;Hierarchical Reasoning
Decision: Poster
Title: Stronger NAS with Weaker Predictors
Authors: Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan
Affiliations: University of Texas at Austin; Texas A&M University; Microsoft Corporation
Conference: nips 2021 (main track)
Keywords: Neural Architecture Search;Predictor;Bayesian Optimization
Decision: Poster
Title: Causal Navigation by Continuous-time Neural Networks
Authors: Charles Vorbach, Ramin Hasani, Alexander Amini, Mathias Lechner, Daniela Rus
Affiliations: CSAIL MIT; IST Austria
Conference: nips 2021 (main track)
Keywords: Continuous-time neural networks;Causality;neural ODEs;continuous-depth models;visual navigation
Decision: Poster
Title: Revenue maximization via machine learning with noisy data
Authors: Ellen Vitercik, Tom Yan
Affiliations: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley; Department of Machine Learning, Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: Mechanism design;auction design;revenue maximization;machine learning theory;sample complexity;generalization guarantees;adversarial noise
Decision: Poster
Title: CogView: Mastering Text-to-Image Generation via Transformers
Authors: Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang
Affiliations: DAMO Academy, Alibaba Group; BAAI; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Transformer;pretraining;generative model;cross-modality
Decision: Poster
Title: Relaxed Marginal Consistency for Differentially Private Query Answering
Authors: Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau
Affiliations: College of Information and Computer Sciences, University of Massachusetts, Amherst, MA 01002
Conference: nips 2021 (main track)
Keywords: differential privacy;convex optimization;graphical models;approximate inference;local polytope
Decision: Poster
Title: Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates
Authors: Alp Yurtsever, Alex Gu, Suvrit Sra
Affiliations: Massachusetts Institute of Technology; Umeå University
Conference: nips 2021 (main track)
Keywords: three operator splitting;nonsmooth optimization;stochastic optimization;adaptive step-size
Decision: Poster
Title: Test-Time Personalization with a Transformer for Human Pose Estimation
Authors: Yizhuo Li, Miao Hao, Zonglin Di, Nitesh Bharadwaj Gundavarapu, Xiaolong Wang
Affiliations: UC San Diego; Shanghai Jiao Tong University
Conference: nips 2021 (main track)
Keywords: Test-Time Personalization;Self-supervised learning;Pose estimation;Transformer
Decision: Poster
Title: Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Authors: Max Ryabinin, Eduard Gorbunov, Vsevolod Plokhotnyuk, Gennady Pekhimenko
Affiliations: Yandex, Russia; HSE University, Russia; University of Toronto, Canada; Vector Institute, Canada; MIPT, Russia; HSE University, Russia; Yandex, Russia
Conference: nips 2021 (main track)
Keywords: decentralized training;distributed training;optimization
Decision: Poster
Title: Reinforcement Learning in Newcomblike Environments
Authors: Caspar Oesterheld
Affiliations: Independent Researcher; Department of Computer Science, University of Oxford, Oxford, UK; The Alan Turing Institute, London, UK; Department of Computer Science, Duke University, Durham, NC, USA
Conference: nips 2021 (main track)
Keywords: reinforcement learning;learning in games;decision theory
Decision: Spotlight
Title: Curriculum Disentangled Recommendation with Noisy Multi-feedback
Authors: Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu
Affiliations: Tsinghua University, WeChat Search Application Department, Tencent; WeChat Search Application Department, Tencent; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Recommender system;Disentangled representation learning;Curriculum learning;Multi-feedback
Decision: Poster
Title: Instance-dependent Label-noise Learning under a Structural Causal Model
Authors: Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang
Affiliations: RIKEN AIP; TML Lab, University of Sydney; Hong Kong Baptist University; Carnegie Mellon University; University of Melbourne
Conference: nips 2021 (main track)
Keywords: Label-noise Learning;Structural Causal Models;Casual Inference
Decision: Poster
Title: Well-tuned Simple Nets Excel on Tabular Datasets
Authors: Arlind Kadra, Marius Lindauer, Frank Hutter, Josif Grabocka
Affiliations: Department of Computer Science, University of Freiburg; Department of Computer Science, University of Freiburg & Bosch Center for Artiﬁcial Intelligence; Institute for Information Processing, Leibniz University Hannover
Conference: nips 2021 (main track)
Keywords: tabular datasets;neural networks;multilayer perceptrons;deep learning;regularization cocktails;combined algorithm selection and hyperparameter optimization.
Decision: Poster
Title: Handling Long-tailed Feature Distribution in AdderNets
Authors: Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu
Affiliations: School of Computer Science, University of Sydney; Huawei Noah’s Ark Lab
Conference: nips 2021 (main track)
Keywords: AdderNet;Efficient Networks;Multivariate Skew Laplace
Decision: Poster
Title: Dataset Distillation with Infinitely Wide Convolutional Networks
Authors: Timothy Nguyen, Roman Novak, Lechao Xiao, Jaehoon Lee
Affiliations: Google Research, Brain Team♠; DeepMind†Google Research, Brain Team♠
Conference: nips 2021 (main track)
Keywords: dataset distillation;infinite-width limit;convolutional neural networks;kernel ridge-regression;meta-learning;feature learning
Decision: Poster
Title: An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks
Authors: Shashank Rajput, Kartik Sreenivasan, Dimitris Papailiopoulos, Amin Karbasi
Affiliations: University of Wisconsin - Madison; Yale University
Conference: nips 2021 (main track)
Keywords: Deep Learning;Memorization;Multi-layered Perceptrons
Decision: Poster
Title: Optimal prediction of Markov chains with and without spectral gap
Authors: Yanjun Han, Soham Jana, Yihong Wu
Affiliations: Department of Statistics and Data Science, Yale University, New Haven, CT 06520; Simons Institute for the Theory of Computing, University of California, Berkeley, Berkeley, CA 94720
Conference: nips 2021 (main track)
Keywords: Markov chains;prediction;redundancy;spectral gap;mixing time;Kullback Leibler risk
Decision: Poster
Title: Distributed Saddle-Point Problems Under Data Similarity
Authors: Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander Gasnikov
Affiliations: Purdue University, USA; MIPT, HSE University and ISP RAS†, Russia; MIPT⇤, HSE University and Yandex, Russia; MIPT and HSE University, Russia
Conference: nips 2021 (main track)
Keywords: convex optimization;saddle point problem;distributed optimization;data similarity
Decision: Poster
Title: On the Generative Utility of Cyclic Conditionals
Authors: Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu
Affiliations: Microsoft Research Asia, Beijing, 100080; Tsinghua University, Beijing, 100084
Conference: nips 2021 (main track)
Keywords: generative model;variational auto-encoder;probability theory;conditionally specified distributions
Decision: Poster
Title: Error Compensated Distributed SGD Can Be Accelerated
Authors: Xun Qian, Peter Richtarik, Tong Zhang
Affiliations: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia; Hong Kong University of Science and Technology, Hong Kong; King Abdullah University of Science and Technology, Thuwal, Saudi Arabia; Moscow Institute of Physics and Technology, Dolgoprudny, Russia
Conference: nips 2021 (main track)
Keywords: machine learning;error feedback;acceleration;L-Katyusha
Decision: Poster
Title: PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning
Authors: Yining Hong, Li Yi, Josh Tenenbaum, Antonio Torralba, Chuang Gan
Affiliations: MIT BCS, CBMM, CSAIL; MIT-IBM Watson AI Lab; Stanford University; MIT CSAIL; UCLA
Conference: nips 2021 (main track)
Keywords: Part;visual reasoning;relational reasoning;concept learning;model diagnostics
Decision: Poster
Title: Neural Auto-Curricula in Two-Player Zero-Sum Games
Authors: Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang
Affiliations: University College London; Shanghai Jiao Tong University; Institute of Automation, CAS; University of California, Irvine; Institute for AI, Peking University
Conference: nips 2021 (main track)
Keywords: Multi-agent;Meta-Learning;Auto-Curricula
Decision: Poster
Title: Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods
Authors: Hamza Fawzi, Harry Goulbourne
Affiliations: Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK
Conference: nips 2021 (main track)
Keywords: proximal splitting algorithms;matrix optimization;semidefinite programming;eigenvalue computation;Jacobi's method for eigenvalue decomposition
Decision: Poster
Title: Optimal Rates for Random Order Online Optimization
Authors: Uri Sherman, Tomer Koren, Yishay Mansour
Affiliations: Blavatnik School of Computer Science, Tel Aviv University, Google Research; Blavatnik School of Computer Science, Tel Aviv University
Conference: nips 2021 (main track)
Keywords: Online Learning;Convex Optimization;Algorithmic Stability;Stochastic Gradient Descent
Decision: Oral
Title: Refining Language Models with Compositional Explanations
Authors: Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
Affiliations: Peking University; University of Southern California; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Natural language processing;language model;explanation-based learning;spurious patterns;post-hoc model explanation
Decision: Spotlight
Title: Targeted Neural Dynamical Modeling
Authors: Cole Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew Perich, Lee Miller, Matthias Hennig
Affiliations: School of Informatics, University of Edinburgh, Edinburgh, Scotland, EH8 9AB; Icahn School of Medicine at Mount Sinai, New York, NY 10029; MIT-IBM Watson AI Lab, Cambridge, MA 02142; Feinberg School of Medicine, Northwestern, Chicago, IL 60611
Conference: nips 2021 (main track)
Keywords: neuroscience;latent variable model;recurrent neural network;behavioural neuroscience;motor neuroscience;dynamics
Decision: Poster
Title: Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models
Authors: Xiao Lv, Wei Cui, Yulong Liu
Affiliations: School of Physics, Beijing Institute of Technology; School of Information and Electronics, Beijing Institute of Technology
Conference: nips 2021 (main track)
Keywords: Vector autoregressive models;dirty statistical models;linear convergence rate;non-asymptotic analysis
Decision: Poster
Title: Revisiting ResNets: Improved Training and Scaling Strategies
Authors: Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
Affiliations: Google Brain; UC Berkeley
Conference: nips 2021 (main track)
Keywords: Scaling;Architectures;ResNet;EfficientNet;ViT;Image Classification;Vision;ImageNet
Decision: Spotlight
Title: CrypTen: Secure Multi-Party Computation Meets Machine Learning
Authors: Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten
Affiliations: Facebook AI Research
Conference: nips 2021 (main track)
Keywords: Secure multi-party computation;deep-learning framework.
Decision: Poster
Title: How Modular should Neural Module Networks Be for Systematic Generalization?
Authors: Vanessa D'Amario, Tomotake Sasaki, Xavier Boix
Affiliations: Massachusetts Institute of Technology, USA; Center for Brains, Minds and Machines, USA; Fujitsu Limited, Japan; Center for Brains, Minds and Machines, USA
Conference: nips 2021 (main track)
Keywords: Neural Module Networks;Systematic Generalization;Out of Distribution;VQA
Decision: Poster