hunoutl/paperlists huggingface dataset:
Title: METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets
Authors: Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang
Affiliations: School of Public Health and the Second Affiliated Hospital, Zhejiang University, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, China; Department of Biomedical Informatics, Harvard Medical School, USA; School of Engineering, Westlake University, China; Department of Computer Science and Technology, University of Cambridge, UK; School of Public Health and the Second Affiliated Hospital, Zhejiang University, China; Chu Kochen Honors College, Zhejiang University, China; School of Electronic and Computer Engineering, Peking University, China
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: medical;named entity recognition;sentiment;covid-19
Decision: Poster
Title: Learning Neural Set Functions Under the Optimal Subset Oracle
Authors: Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
Affiliations: Sun Yat-sen University, China; Imperial College London, United Kingdom; Tencent AI Lab, China
Conference: nips 2022 (main track)
Keywords: set function;variaitional inference;energy-based models
Decision: Highlighted
Title: Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
Authors: Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu
Affiliations: Pazhou Lab, Guangzhou, China; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2022 (main track)
Keywords: Model-based Reinforcement Learning;Exploration and Exploitation;Optimism in the Face of Uncertainty
Decision: Poster
Title: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
Authors: Dongkuan (DK) Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Awadallah, Jianfeng Gao
Affiliations: Microsoft Research; Penn State University; NC State University
Conference: nips 2022 (main track)
Keywords: Pre-trained Language Models;Knowledge Distillation;Neural Architecture Search
Decision: Poster
Title: Provably Efficient Model-Free Constrained RL with Linear Function Approximation
Authors: Arnob Ghosh, Xingyu Zhou, Ness Shroff
Affiliations: Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA; Electrical and Computer Engineering, Wayne State University, Detroit, MI, USA
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning Theory;Theory of Constrained Reinforcement Learning;Linear MDP;Model-free RL;Soft-max
Decision: Poster
Title: FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Authors: Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Teleńczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
Affiliations: University Hospital Bonn; University of California, Berkeley; University of Southern California; Owkin, Inc; FedML, Inc.; Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, F-59000 Lille, France; EPFL; Inria, Université Côte d’Azur, Sophia Antipolis, France; CMAP, UMR 7641, École Polytechnique, Institut Polytechnique de Paris
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Federated Learning;Healthcare
Decision: Poster
Title: Wasserstein Iterative Networks for Barycenter Estimation
Authors: Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev
Affiliations: Skolkovo Institute of Science and Technology, Artiﬁcial Intelligence Research Institute, Moscow, Russia; Massachusetts Institute of Technology, Cambridge, Massachusetts, USA; Skolkovo Institute of Science and Technology, Moscow, Russia
Conference: nips 2022 (main track)
Keywords: optimal transport;continuous barycenter;neural networks;Wasserstein-2 distance
Decision: Poster
Title: SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
Authors: Xuan Zhang, Necdet Serhat Aybat, Mert Gurbuzbalaban
Affiliations: Department of Management Science and Information Systems, Rutgers University, Piscataway, NJ, USA; Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA, USA.
Conference: nips 2022 (main track)
Keywords: saddle point problems;nonconvex optimization;stochastic gradient;accelerated methods
Decision: Poster
Title: Uni[MASK]: Unified Inference in Sequential Decision Problems
Authors: Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
Affiliations: CMU; Microsoft Research; UC Berkeley
Conference: nips 2022 (main track)
Keywords: Multi-task Learning;Unsupervised Learning;Reinforcement Learning;Deep Learning
Decision: Highlighted
Title: Improving Variational Autoencoders with Density Gap-based Regularization
Authors: Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong
Affiliations: School of Computer Science and Engineering, Beihang University, China; Ping An Technology, China; State Key Laboratory of Software Development Environment, Beihang University, China; Department of Computer Science, University of Sheffield, United Kingdom
Conference: nips 2022 (main track)
Keywords: Variational Autoencoders;Posterior Collapse;Hole Problem
Decision: Poster
Title: CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
Authors: Ming Ding, Wendi Zheng, Wenyi Hong, Jie Tang
Affiliations: Tsinghua University, BAAI; Tsinghua University
Conference: nips 2022 (main track)
Keywords: text-to-image generation;pretraining;transformer
Decision: Poster
Title: End-to-end Symbolic Regression with Transformers
Authors: Pierre-alexandre Kamienny, Stéphane d'Ascoli, Guillaume Lample, Francois Charton
Affiliations: Meta AI, Department of Physics, Ecole Normale Supérieure; Meta AI; Meta AI, ISIR MLIA, Sorbonne Université
Conference: nips 2022 (main track)
Keywords: symbolic regression;transformers;supervised learning;deep learning
Decision: Poster
Title: Towards Lightweight Black-Box Attack Against Deep Neural Networks
Authors: Chenghao Sun, Yonggang Zhang, Wan Chaoqun, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han, Xinmei Tian
Affiliations: Alibaba Cloud Computing Ltd; Hong Kong Baptist University; The University of Sydney; University of Science and Technology of China; iFlytek Research
Conference: nips 2022 (main track)
Keywords: Adversarial examples;Adversarial attacks;Black-box attack.
Decision: Poster
Title: Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Authors: Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando D De la Torre
Affiliations: Robotics Institute, Carnegie Mellon University, Pittsburgh, PA
Conference: nips 2022 (main track)
Keywords: generative models;energy-based models;normalizing flows;generative adversarial networks;diffusion models;amortized inference
Decision: Poster
Title: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
Authors: Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge, Tongliang Liu
Affiliations: Trustworthy Machine Learning Lab, The University of Sydney; Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences; JD Explore Academy
Conference: nips 2022 (main track)
Keywords: label-noise learning;multi-label learning;transition matrix estimation
Decision: Poster
Title: Instability and Local Minima in GAN Training with Kernel Discriminators
Authors: Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson Fletcher
Affiliations: Dept. ECE, NYU, srangan@nyu.edu; HDSI, UC, San Diego, parthepandit@ucsd.edu; Dept. Statistics, UCLA, akfletcher@ucla.edu; Dept. CS, UCLA, evbecker@cs.ucla.edu
Conference: nips 2022 (main track)
Keywords: GANs;stability;kernel;linearization
Decision: Poster
Title: A Unified Diversity Measure for Multiagent Reinforcement Learning
Authors: Zongkai Liu, Chao Yu, Yaodong Yang, peng sun, Zifan Wu, Yuan Li
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China; Institute for AI, Peking University, Beijing Institute for General AI, Beijing; ByteDance, Shenzhen, China
Conference: nips 2022 (main track)
Decision: Poster
Title: Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space
Authors: Heng Lian
Affiliations: City University of Hong Kong Shenzhen Research Institute, Shenzhen, China and Department of Mathematics, City University of Hong Kong, Hong Kong, China
Conference: nips 2022 (main track)
Keywords: Distributed learning;Quantile regression;Rademacher complexity;Reproducing Kernel Hilbert Space
Decision: Poster
Title: FP8 Quantization: The Power of the Exponent
Authors: Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort
Affiliations: Qualcomm AI Research
Conference: nips 2022 (main track)
Keywords: Neural network quantization;8-bit floating point;post-training quantization;quantization-aware training
Decision: Poster
Title: Self-Supervised Visual Representation Learning with Semantic Grouping
Authors: Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, Xiaojuan Qi
Affiliations: University of Hong Kong; MEGVII Technology; University of Edinburgh
Conference: nips 2022 (main track)
Keywords: self-supervised learning;representation learning;object discovery
Decision: Poster
Title: FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Authors: Tri Dao, Dan Fu, Stefano Ermon, Atri Rudra, Christopher Ré
Affiliations: Department of Computer Science, Stanford University; Department of Computer Science and Engineering, University at Buffalo, SUNY
Conference: nips 2022 (main track)
Keywords: Attention;GPUs;Hardware-efficient model;Long context;IO complexity
Decision: Poster
Title: FACT: Learning Governing Abstractions Behind Integer Sequences
Authors: Peter Belcak, Ard Kastrati, Flavio Schenker, Roger Wattenhofer
Affiliations: ETH Zürich, 8092 Zürich, Switzerland
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: dataset;benchmark;integer;sequences;abstraction;learning;evaluation
Decision: Poster
Title: BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling
Authors: Yizhao Gao, Nanyi Fei, Haoyu Lu, Zhiwu Lu, Hao Jiang, Yijie Li, Zhao Cao
Affiliations: Huawei Poisson Lab, Hangzhou, Zhejiang, China; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China
Conference: nips 2022 (main track)
Keywords: Video-language modeling;continual learning;catastrophic forgetting;representation learning
Decision: Poster
Title: Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking
Authors: Ruofan Wu, Junmin Zhong, Brent Wallace, Xiang Gao, He Huang, Jennie Si
Affiliations: North Carolina State University; Arizona State University
Conference: nips 2022 (main track)
Keywords: collaborative multi-agent reinforcement learning;continuous control;human-robotic prosthesis collaboration;real world AI application
Decision: Poster
Title: Multilingual Abusive Comment Detection at Scale for Indic Languages
Authors: Vikram Gupta, Sumegh Roychowdhury, Mithun Das, Somnath Banerjee, Punyajoy Saha, Binny Mathew, hastagiri prakash vanchinathan, Animesh Mukherjee
Affiliations: ShareChat, India; Indian Institute of Technology, Kharagpur, India
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Abusive Text Detection;Indic Languages;Social Media
Decision: Poster
Title: Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech
Authors: Ziyue Jiang, Zhe Su, Zhou Zhao, Qian Yang, Yi Ren, Jinglin Liu, 振辉 叶
Affiliations: Zhejiang University; Bytedance AI Lab
Conference: nips 2022 (main track)
Keywords: Text-to-Speech;Online Dictionary;Unsupervised Polyphone Disambiguation
Decision: Poster
Title: Multi-Scale Adaptive Network for Single Image Denoising
Authors: Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng
Affiliations: Institute of High Performance Computing, A*STAR, Singapore.; College of Computer Science, Sichuan University, China.
Conference: nips 2022 (main track)
Keywords: image denoising;multi-scale architecture;image restoration
Decision: Poster
Title: BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
Authors: Gabriel Cardoso, Sergey Samsonov, Achille Thin, Eric Moulines, Jimmy Olsson
Affiliations: HSE University; UMR MIA, AgroParisTech; Centre de Mathématiques appliquées, Ecole polytechnique; Department of Mathematics, KTH Royal Institute of Technology; Centre de Mathématiques appliquées, Ecole polytechnique, IHU Liryc, fondation Bordeaux Université, Univ Bordeaux, CRCTB U4045, INSERM
Conference: nips 2022 (main track)
Keywords: Importance Sampling;Self Normalized Importance Sampling;Monte Carlo;Markov Chain Monte Carlo
Decision: Poster
Title: AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control
Authors: Yifan Zhang, Haiyan Jiang, Haojie Ren, Changliang Zou, Dejing Dou
Affiliations: School of Mathematical Science, Shanghai Jiao Tong University, Shanghai, China; Machine Learning Department, MBZUAI, Abu Dhabi, UAE; Baidu Research, Baidu Inc., Beijing, China; School of Statistics and Data Sciences, LPMC, KLMDASR and LEBPS, Nankai University, Tianjin, China
Conference: nips 2022 (main track)
Keywords: Model Selection;FDR;Novelty Detection
Decision: Poster
Title: Improving Multi-Task Generalization via Regularizing Spurious Correlation
Authors: Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed Chi
Affiliations: University of California, Los Angeles; Google Research, Brain Team
Conference: nips 2022 (main track)
Keywords: spurious correlation;multi-task learning;multi-task generalization;out-of-distribution generalization
Decision: Poster
Title: A Consistent and Differentiable Lp Canonical Calibration Error Estimator
Authors: Teodora Popordanoska, Raphael Sayer, Matthew Blaschko
Affiliations: University of Tübingen; ESAT-PSI, KU Leuven
Conference: nips 2022 (main track)
Keywords: uncertainty calibration;calibration error estimator;dirichlet kernel density estimation
Decision: Poster
Title: Isometric 3D Adversarial Examples in the Physical World
Authors: yibo miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao
Affiliations: KLMM, UCAS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China; Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing 100084, China
Conference: nips 2022 (main track)
Keywords: 3D adversarial examples;physical attacks;isometry
Decision: Poster
Title: Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
Authors: Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frederic Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik
Affiliations: Babylon Health, University of Cambridge; University of Cambridge, Alan Turing Institute; KU Leuven; Université Côte d’Azur, Inria, CNRS, I3S, Maasai, Nice, France; University of Cambridge; University of Siena
Conference: nips 2022 (main track)
Keywords: Explainable Artificial Intelligence;Concept Bottleneck Models;Concept-based Explainability;Interpretability;XAI
Decision: Poster
Title: MVP-N: A Dataset and Benchmark for Real-World Multi-View Object Classification
Authors: REN WANG, Jiayue Wang, Tae Sung Kim, JINSUNG KIM, Hyuk-Jae Lee
Affiliations: Seoul National University; Sun Moon University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: multi-view object classification;learning from noisy labels;dataset and benchmark
Decision: Poster
Title: Sparsity in Continuous-Depth Neural Networks
Authors: Hananeh Aliee, Till Richter, Mikhail Solonin, Ignacio Ibarra, Fabian Theis, Niki Kilbertus
Affiliations: Technical University of Munich, Helmholtz AI, Munich; Helmholtz Munich; Technical University of Munich; Technical University of Munich, Helmholtz Munich
Conference: nips 2022 (main track)
Keywords: Neural ODEs;interpretability;sparsity;dynamical systems
Decision: Poster
Title: Zero-Shot 3D Drug Design by Sketching and Generating
Authors: Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou
Affiliations: Institute for AI Industry Research (AIR), Tsinghua University; National Key Laboratory for Novel Software Technology, Nanjing University; ByteDance AI Lab
Conference: nips 2022 (main track)
Keywords: Zero-Shot;3D Drug Design;Pre-training;Generation
Decision: Poster
Title: Inverse Design for Fluid-Structure Interactions using Graph Network Simulators
Authors: Kelsey Allen, Tatiana Lopez-Guevara, Kimberly Stachenfeld, Alvaro Sanchez Gonzalez, Peter Battaglia, Jessica Hamrick, Tobias Pfaff
Affiliations: DeepMind, UK
Conference: nips 2022 (main track)
Keywords: design;graph neural networks
Decision: Poster
Title: Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
Authors: Ashwinkumar Badanidiyuru Varadaraja, Zhe Feng, Tianxi Li, Haifeng Xu
Affiliations: University of Chicago; University of Virginia; Google; Google Research
Conference: nips 2022 (main track)
Keywords: Learning to Bid;Incrementality Bidding;Reinforcement Learning
Decision: Poster
Title: Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis
Authors: Jonathan Laurent, André Platzer
Affiliations: Carnegie Mellon University, Karlsruhe Institute of Technology; Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: Theorem Proving;Program Synthesis;AlphaZero;Reinforcement Learning
Decision: Poster
Title: Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Authors: Haoyu Peter Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li
Affiliations: Purdue University; Georgia Tech.; UCSB
Conference: nips 2022 (main track)
Keywords: learning for combinatorial optimization;model-based optimization;graph neural networks
Decision: Poster
Title: Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Authors: Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
Affiliations: University of California, Los Angeles; Allen Institute for AI; Arizona State University
Conference: nips 2022 (main track)
Keywords: science question answering;multimodal reasoning;chain of thought
Decision: Poster
Title: Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime
Authors: Naoki Nishikawa, Taiji Suzuki, Atsushi Nitanda, Denny Wu
Affiliations: University of Tokyo; University of Toronto, Vector Institute; Kyushu Institute of Technology, RIKEN AIP; University of Tokyo, RIKEN AIP
Conference: nips 2022 (main track)
Keywords: mean-field regime;neural network;optimization;functional data analysis
Decision: Poster
Title: Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression
Authors: Lechao Xiao, Hong Hu, Theodor Misiakiewicz, Yue Lu, Jeffrey Pennington
Affiliations: Stanford University; Harvard University; Google Research, Brain Team; University of Pennsylvania
Conference: nips 2022 (main track)
Keywords: Dot product kernel;NTK;NNGP;Marchenko-Pastur distribution;Learning Curves
Decision: Poster
Title: Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving
Authors: Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing XU, Xiaodan Liang
Affiliations: Huawei Noah’s Ark Lab; Shenzhen Campus of Sun Yat-Sen University
Conference: nips 2022 (main track)
Decision: Poster
Title: A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Authors: Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot
Affiliations: LTCI, Télecom Paris, IP Paris; Université Paris-Saclay, CNRS, Inria, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France; Université Paris-Saclay, Inria, CEA, Palaiseau 91120, France
Conference: nips 2022 (main track)
Keywords: high-dimension statistics;sparse logistic regression;variable selection;variable importance;brain-imaging analysis;statistical inference
Decision: Poster
Title: CyCLIP: Cyclic Contrastive Language-Image Pretraining
Authors: Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan Rossi, Vishwa Vinay, Aditya Grover
Affiliations: MDSR Lab, Adobe Systems; Adobe Research; UCLA
Conference: nips 2022 (main track)
Keywords: CLIP;Contrastive;Language-Image Pretraining;Multimodal Learning;Representation Learning;Cyclic Consistency;Zero-shot transfer;Robustness
Decision: Highlighted
Title: What You See is What You Classify: Black Box Attributions
Authors: Steven Stalder, Nathanael Perraudin, Radhakrishna Achanta, Fernando Perez-Cruz, Michele Volpi
Affiliations: Swiss Data Science Center, EPFL, Switzerland; Swiss Data Science Center, ETH Zurich, Switzerland
Conference: nips 2022 (main track)
Keywords: Computer Vision;Explainable Machine Learning;Saliency Maps;Attribution
Decision: Poster
Title: Theoretically Provable Spiking Neural Networks
Authors: Shao-Qun Zhang, Zhi-Hua Zhou
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China
Conference: nips 2022 (main track)
Keywords: Spiking Neural Networks;Self Connection;Continuous Dynamical Systems;Approximation Power;Computational Efficiency
Decision: Poster
Title: Gradient Estimation with Discrete Stein Operators
Authors: Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis Titsias, Lester Mackey
Affiliations: Stanford University; Microsoft Research New England; DeepMind; Tsinghua University
Conference: nips 2022 (main track)
Keywords: Gradient estimation;Stein's method;Markov chain;score function;REINFORCE;discrete latent variables;VAE;control variates;variance reduction
Decision: Poster
Title: Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
Authors: Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao
Affiliations: The University of Hong Kong; Intel Labs; Max Planck Institute
Conference: nips 2022 (main track)
Keywords: 3D Computer Vision;Point Cloud;Transformer
Decision: Poster
Title: BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression
Authors: Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtarik, Yuejie Chi
Affiliations: Princeton University; Carnegie Mellon University; King Abdullah University of Science and Technology
Conference: nips 2022 (main track)
Keywords: decentralized optimization;communication compression;nonconvex optimization
Decision: Poster
Title: Adaptive Oracle-Efficient Online Learning
Authors: Guanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob Abernethy
Affiliations: School of Industrial and Systems Engineering, Georgia Institute of Technology; College of Computing, Georgia Institute of Technology; School of Electrical and Computer Engineering, Georgia Institute of Technology
Conference: nips 2022 (main track)
Keywords: online learning;oracle efficiency;adaptive online learning;small-loss bound
Decision: Poster
Title: Truncated Matrix Power Iteration for Differentiable DAG Learning
Authors: Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
Affiliations: The University of Melbourne; The University of New South Wales; Carnegie Mellon University; The University of Adelaide
Conference: nips 2022 (main track)
Keywords: DAG;Structure Learning;Causal Discovery
Decision: Poster
Title: On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model
Authors: Peizhong Ju, Xiaojun Lin, Ness Shroff
Affiliations: School of ECE, Purdue University, West Lafayette, IN 47906; Department of ECE, The Ohio State University, Columbus, OH 43210
Conference: nips 2022 (main track)
Decision: Poster