hunoutl/paperlists huggingface dataset:
Title: Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
Authors: Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine Heller, Silvia Chiappa, Alexander D'Amour
Affiliations: University of Basel†; Google Research; DeepMind; Google Research∗
Conference: nips 2022 (main track)
Keywords: Healthcare;fairness;robustness;deep learning
Decision: Poster
Title: Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints
Authors: Xinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani
Affiliations: Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104; Graduate Group in Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, PA 19104
Conference: nips 2022 (main track)
Keywords: Collaborative Estimation;Sparse Heterogeneity;Communication Constraint;Discrete Distributions
Decision: Poster
Title: Variational inference via Wasserstein gradient flows
Authors: Marc Lambert, Sinho Chewi, Francis Bach, Silvère Bonnabel, Philippe Rigollet
Affiliations: DGA, INRIA, Ecole Normale Supérieure, PSL Research University; MIT; INRIA, Ecole Normale Supérieure, PSL Research University; MINES Paris PSL, Université de la Nouvelle-Calédonie
Conference: nips 2022 (main track)
Keywords: Bures-Wasserstein;Kalman filter;mixture of Gaussians;variational inference;Wasserstein gradient flow
Decision: Poster
Title: Data-Efficient Structured Pruning via Submodular Optimization
Authors: Marwa El Halabi, Suraj Srinivas, Simon Lacoste-Julien
Affiliations: Mila, Université de Montreal; Samsung - SAIT AI Lab, Montreal; Canada CIFAR AI Chair; Harvard University; Idiap Research Institute, Switzerland (partially); Samsung - SAIT AI Lab, Montreal; MIT, CSAIL (partially)
Conference: nips 2022 (main track)
Keywords: Structured pruning;weakly submodular optimization;neural networks compression
Decision: Poster
Title: Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
Authors: Xin-Chun Li, Wen-shu Fan, Shaoming Song, Yinchuan Li, bingshuai Li, Shao Yunfeng, De-Chuan Zhan
Affiliations: Huawei Noah’s Ark Lab, Beijing, China; State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2022 (main track)
Keywords: knowldege distillation;larger teacher;temperature scaling
Decision: Poster
Title: Theseus: A Library for Differentiable Nonlinear Optimization
Authors: Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam
Affiliations: Meta AI; Reality Labs Research
Conference: nips 2022 (main track)
Keywords: robotics;differentiable optimization;nonlinear least squares;implicit differentiation
Decision: Poster
Title: Random Normalization Aggregation for Adversarial Defense
Authors: Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
Affiliations: School of Computer Science, University of Sydney; Huawei Noah’s Ark Lab
Conference: nips 2022 (main track)
Keywords: Adversarial Robustness;Adversarial Transferability;Normalization
Decision: Poster
Title: Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation
Authors: Piyush Raikwar, Deepak Mishra
Affiliations: ABV-IIITM, Gwalior, India; IIT Jodhpur, India
Conference: nips 2022 (main track)
Keywords: Knowledge distillation;Gaussian noise;Batch normalization
Decision: Poster
Title: What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
Authors: Nikolaos Tsilivis, Julia Kempe
Affiliations: Center for Data Science, New York University; Center for Data Science and Courant Institute of Mathematical Sciences, New York University
Conference: nips 2022 (main track)
Keywords: Neural Tangent Kernel;Adversarial Examples;Non Robust Features;Linearised Networks
Decision: Poster
Title: Supported Policy Optimization for Offline Reinforcement Learning
Authors: Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
Affiliations: School of Software, BNRist, Tsinghua University, China; Institute for Interdisciplinary Information Sciences, Tsinghua University, China
Conference: nips 2022 (main track)
Keywords: Offline reinforcement learning;Deep reinforcement learning
Decision: Poster
Title: FedPop: A Bayesian Approach for Personalised Federated Learning
Authors: Nikita Kotelevskii, Maxime Vono, Alain Durmus, Eric Moulines
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; Ecole Polytechnique; ENS Paris-Saclay; Criteo AI Lab, Paris, France
Conference: nips 2022 (main track)
Keywords: Bayesian inference;latent variable;MCMC;federated learning
Decision: Poster
Title: Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning
Authors: Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
Affiliations: SFI, UNIL, Lausanne, Switzerland; LIONS, EPFL, Lausanne, Switzerland
Conference: nips 2022 (main track)
Keywords: Inverse Reinforcement Learning
Decision: Poster
Title: Learning from a Sample in Online Algorithms
Authors: C.J. Argue, Alan Frieze, Anupam Gupta, Christopher Seiler
Affiliations: Departments of Computer Science and Mathematics, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2022 (main track)
Keywords: Learning Augmented Algorithms;Online Algorithms;Sample Complexity;Load Balancing;Optimization;Steiner tree;Facility Location;Clustering
Decision: Poster
Title: Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning
Authors: Tomoya Murata, Taiji Suzuki
Affiliations: NTT DATA Mathematical Systems Inc., Tokyo, Japan; Graduate School of Information Science and Technology, The University of Tokyo; Graduate School of Information Science and Technology, The University of Tokyo; Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan
Conference: nips 2022 (main track)
Keywords: nonconvex optimization;distributed learning;local SGD;escaping saddle points;communication efficiency
Decision: Poster
Title: Maximizing and Satisficing in Multi-armed Bandits with Graph Information
Authors: Parth Thaker, Mohit Malu, Nikhil Rao, Gautam Dasarathy
Affiliations: Microsoft; Arizona State University
Conference: nips 2022 (main track)
Keywords: Multi-armed Bandits;Pure Exploration;Graph Smoothness;Best Arm Identification;Sample Complexity
Decision: Poster
Title: Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts
Authors: Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M Berry, Yogatheesan Varatharajah
Affiliations: Mayo Clinic; University of Illinois at Urbana-Champaign; University of Illinois at Urbana-Champaign, Mayo Clinic
Conference: nips 2022 (main track)
Keywords: dataset shifts;scalp EEG;representation learning;healthcare machine learning;model robustness;latent space;uncertainty quantification;distribution shift
Decision: Poster
Title: Improved Coresets for Euclidean $k$-Means
Authors: Vincent Cohen-Addad, Kasper Green Larsen, David Saulpic, Chris Schwiegelshohn, Omar Ali Sheikh-Omar
Affiliations: University of Vienna; Aarhus University; Google Research
Conference: nips 2022 (main track)
Keywords: Clustering;coresets;k-means;Euclidean
Decision: Poster
Title: CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
Authors: Stephanie Schoch, Haifeng Xu, Yangfeng Ji
Affiliations: Department of Computer Science, University of Virginia, Charlottesville, VA 22904; Department of Computer Science, University of Chicago, Chicago, IL 60637
Conference: nips 2022 (main track)
Keywords: data valuation;Shapley values;classification;value function
Decision: Poster
Title: Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs
Authors: Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann
Affiliations: Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189 - CRIStAL, Lille, France; UMPA, ENS Lyon, Lyon, France; Meta AI, Paris, France
Conference: nips 2022 (main track)
Decision: Poster
Title: A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
Authors: Puyuan Liu, Xiang Zhang, Lili Mou
Affiliations: Dept. Computing Science, Alberta Machine Intelligence Institute (Amii), University of Alberta, Canada; Dept. Computing Science, Alberta Machine Intelligence Institute (Amii), University of Alberta, Canada, Canada CIFAR AI Chair, Amii
Conference: nips 2022 (main track)
Keywords: summarization;non-autoregressive generation;length control
Decision: Poster
Title: Pseudo-Riemannian Graph Convolutional Networks
Authors: Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab
Affiliations: University of Stuttgart, Stuttgart, Germany; AMSS, Chinese Academy of Sciences, Beijing, China; IIE, Chinese Academy of Sciences, Beijing, China; University of Stuttgart, University of Southampton, Stuttgart, Germany; Imperial College London, London, United Kingdom; Grifﬁth University, Queensland, Australia
Conference: nips 2022 (main track)
Keywords: Graph Convolutional Networks;Graph Embeddings;Non-Euclidean Embeddings
Decision: Poster
Title: TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
Authors: Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S CICHOCKI, Ivan Oseledets
Affiliations: Center of Artificial Intelligence Technology, Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia; Artificial Intelligence Research Institute (AIRI), Moscow, Russia; RIKEN Center for Advanced Intelligence Project (AIP), Tokyo, Japan; Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Conference: nips 2022 (main track)
Keywords: Black-box;Optimization;Reinforcement Learning;Tensor Train;Cross approximation;Maximum Volume;Quantized networks
Decision: Poster
Title: Semi-Supervised Generative Models for Multiagent Trajectories
Authors: Dennis Fassmeyer, Pascal Fassmeyer, Ulf Brefeld
Affiliations: Leuphana University of Lüneburg; Luephana University of Lüneburg
Conference: nips 2022 (main track)
Keywords: Generative Models and Autoencoders;Graph Neural Networks;Recurrent Networks;Sequential Models;Semi-Supervised;Multi-Agent
Decision: Poster
Title: Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds
Authors: Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han
Affiliations: Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, UAE; Department of Computer Science, Wayne State University, Detroit, USA; School of Software, BNRist, Tsinghua University, Beijing, China
Conference: nips 2022 (main track)
Keywords: Surface reconstruction;Unsigned distance functions;Consistency-aware field learning;Progressive surface approximation
Decision: Poster
Title: Capturing Graphs with Hypo-Elliptic Diffusions
Authors: Csaba Toth, Darrick Lee, Celia Hacker, Harald Oberhauser
Affiliations: Mathematical Institute, University of Oxford; Department of Mathematics, EPFL
Conference: nips 2022 (main track)
Keywords: Graph Diffusion;Random Walks;Hypo-Elliptic Laplacian;Graph Tensor Networks;Graph Classification
Decision: Poster
Title: Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
Authors: Qixun Wang, Yifei Wang, Hong Zhu, Yisen Wang
Affiliations: Huawei Noah’s Ark Lab; School of Mathematical Sciences, Peking University; Key Lab. of Machine Perception (MoE), School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University
Conference: nips 2022 (main track)
Decision: Poster
Title: Optimal Rates for Regularized Conditional Mean Embedding Learning
Authors: Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton
Affiliations: Department of Mathematics and Computer Science, Freie Universität Berlin; Gatsby Computational Neuroscience Unit, University College London
Conference: nips 2022 (main track)
Keywords: Kernel Methods;Learning Theory
Decision: Highlighted
Title: FourierNets enable the design of highly non-local optical encoders for computational imaging
Authors: Diptodip Deb, Zhenfei Jiao, Ruth Sims, Alex Chen, Michael Broxton, Misha B Ahrens, Kaspar Podgorski, Srinivas C Turaga
Affiliations: Wuhan National Laboratory for Optoelectronics, HUST; Harvard University; Institut de la Vision, Sorbonne Université, CNRS; Stanford University; HHMI Janelia Research Campus
Conference: nips 2022 (main track)
Keywords: computational microscopy;computational photography;computer vision;deep learning
Decision: Poster
Title: Constrained Langevin Algorithms with L-mixing External Random Variables
Authors: Yuping Zheng, Andrew Lamperski
Affiliations: Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, Minneapolis, MN 55455
Conference: nips 2022 (main track)
Keywords: Langevin algorithms;L-mixing processes;Gradient descent methods;Non-convex optimization;Non-asymptotic analysis;Markov Chain Monte Carlo sampling
Decision: Poster
Title: TwiBot-22: Towards Graph-Based Twitter Bot Detection
Authors: Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Twitter bot detection;social network analysis
Decision: Poster
Title: Learning-Augmented Algorithms for Online Linear and Semidefinite Programming
Authors: Elena Grigorescu, Young-San Lin, Sandeep Silwal, Maoyuan Song, Samson Zhou
Affiliations: UC Berkeley and Rice University, USA; Purdue University, USA; University of Melbourne, Australia; MIT, USA
Conference: nips 2022 (main track)
Keywords: Learning-augmented Online Algorithms;Primal-dual;Covering Linear Programming;Covering Semidefinite Programming
Decision: Poster
Title: Online Neural Sequence Detection with Hierarchical Dirichlet Point Process
Authors: Weihan Li, Yu Qi, Gang Pan
Affiliations: College of Computer Science and Technology, Zhejiang University, Hangzhou, China; The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China; The Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, the MOE Frontier Science Center for Brain Science and Brain-machine Integration, Zhejiang University School of Medicine, Hangzhou, China
Conference: nips 2022 (main track)
Keywords: Neural sequence detection;Online learning;Dirichlet process mixture model
Decision: Poster
Title: Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
Authors: Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
Affiliations: Simon Fraser University; Beijing University of Posts and Telecommunications, Peng Cheng Laboratory; Beijing University of Posts and Telecommunications
Conference: nips 2022 (main track)
Keywords: graph neural network;graph contrastive learning;graph spectral theory;graph self-supervised learning
Decision: Poster
Title: Characterization of Excess Risk for Locally Strongly Convex Population Risk
Authors: Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma
Affiliations: University of Chinese Academy of Sciences; Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Huawei Noah’s Ark Lab; University of Chinese Academy of Sciences; Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: Excess risk;Algorithmic stability;Loss Landscape
Decision: Poster
Title: A Multilabel Classification Framework for Approximate Nearest Neighbor Search
Authors: Ville Hyvönen, Elias Jääsaari, Teemu Roos
Affiliations: Department of Computer Science, University of Helsinki, Helsinki Institute for Information Technology (HIIT); Machine Learning Department, Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: approximate nearest neighbor search;multilabel classification;statistical learning theory
Decision: Poster
Title: CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
Authors: Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia
Affiliations: Microsoft Research Asia; Shannon.AI, Zhejiang University; Virginia Tech; University College London; University of Melbourne; Sony AI
Conference: nips 2022 (main track)
Keywords: natural language generation;conditional lexical watermarks;IP protection
Decision: Poster
Title: Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
Authors: Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long
Affiliations: School of Software, BNRist, Tsinghua University, China; Advanced Computing and Storage Lab, Huawei Technologies Co. Ltd
Conference: nips 2022 (main track)
Keywords: Transfer Learning;Deep Learning;Pre-trained Model Hub
Decision: Poster
Title: ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
Authors: Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Salahuddin, Robert Jenssen, Marina Höhne, Michael Kampffmeyer
Affiliations: UiT The Arctic University of Norway, Technical University of Berlin; UiT The Arctic University of Norway
Conference: nips 2022 (main track)
Keywords: Interpretability;Explainable AI;Self-explaining Models;Deep Neural Networks
Decision: Poster
Title: Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning
Authors: Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China; Noah’s Ark Lab, Huawei, Beijing, China
Conference: nips 2022 (main track)
Keywords: model-based reinforcement learning
Decision: Poster
Title: Human-AI Shared Control via Policy Dissection
Authors: Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou
Affiliations: University of California, Los Angeles; Centre for Perceptual and Interactive Intelligence; ETH Zurich
Conference: nips 2022 (main track)
Keywords: Human-AI interaction;Interpetability;Decision and Control
Decision: Poster
Title: Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
Authors: Yanpeng Sun, Qiang Chen, Xiangyu He, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jian Cheng, Zechao Li, Jingdong Wang
Affiliations: School of Computer Science and Engineering, Nanjing University of Science and Technology; Baidu VIS; NLPR, Institute of Automation, Chinese Academy of Sciences
Conference: nips 2022 (main track)
Decision: Poster
Title: To update or not to update? Neurons at equilibrium in deep models
Authors: Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
Affiliations: LTCI, Télécom Paris, Institut Polytechnique de Paris, France; University of Turin, Italy; University of Turin, Italy; Synesthesia s.r.l., Turin, Italy
Conference: nips 2022 (main track)
Keywords: Deep Learning;Equilibrium
Decision: Poster
Title: List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
Authors: Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
Affiliations: UC, San Diego; UW-Madison
Conference: nips 2022 (main track)
Keywords: list-decoding;sparse estimation;robust statistics;high-dimensional inference
Decision: Highlighted
Title: GENIE: Higher-Order Denoising Diffusion Solvers
Authors: Tim Dockhorn, Arash Vahdat, Karsten Kreis
Affiliations: NVIDIA, University of Waterloo, Vector Institute; NVIDIA
Conference: nips 2022 (main track)
Keywords: Diffusion Models;Score-based Generative Models;Generative Learning;ODE Solvers;Higher-Order Solvers
Decision: Poster
Title: Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient
Authors: Yewen Li, Chaojie Wang, Zhibin Duan, Dongsheng Wang, Bo Chen, Bo An, Mingyuan Zhou
Affiliations: Nanyang Technological University; The University of Texas at Austin; Xidian University
Conference: nips 2022 (main track)
Keywords: Deep Topic Models;Posterior Collapse;Reinforcement Learning
Decision: Poster
Title: Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
Authors: Changyong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
Affiliations: Qualcomm AI Research∗, Qualcomm Technologies, Inc.; QUvA lab, IvI, University of Amsterdam
Conference: nips 2022 (main track)
Keywords: Bayesian Optimization;Batch Acquisition;Permutation;Bandit;Regret Analysis;Information Gain;Determinantal Point Processes
Decision: Poster
Title: LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models
Authors: Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio Cesar Teodoro Mendes, Sebastien Bubeck, Farinaz Koushanfar, Debadeepta Dey
Affiliations: University of California San Diego; Microsoft Research; Microsoft
Conference: nips 2022 (main track)
Keywords: Neural Architecture Search;AutoML;Transformers
Decision: Poster
Title: Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Authors: Benjamin Eysenbach, Alexander Khazatsky, Sergey Levine, Russ Salakhutdinov
Affiliations: Carnegie Mellon University; Google Brain; UC Berkeley
Conference: nips 2022 (main track)
Keywords: theory;reinforcement learning;model-based RL;GAN;joint optimization;unified objective
Decision: Poster
Title: Fast Instrument Learning with Faster Rates
Authors: Ziyu Wang, Yuhao Zhou, Jun Zhu
Affiliations: Dept. of Comp. Sci. and Tech., BNRist Center, State Key Lab for Intell. Tech. & Sys., Institute for AI, Tsinghua-Bosch Joint Center for ML, Tsinghua University
Conference: nips 2022 (main track)
Keywords: causal inference;kernel method;gaussian process
Decision: Poster
Title: Forecasting Future World Events With Neural Networks
Authors: Andy Zou, Tristan Xiao, Ryan Jia, Joe Kwon, Mantas Mazeika, Richard Li, Dawn Song, Jacob Steinhardt, Owain Evans, Dan Hendrycks
Affiliations: University of Oxford; MIT; UIUC; UC Berkeley
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Forecasting;Epistemics;Retrieval;Question Answering
Decision: Poster
Title: Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking
Authors: Shuchen Wu, Noemi Elteto, Ishita Dasgupta, Eric Schulz
Affiliations: Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Computational Cognitive Science Lab, Department of Psychology, Princeton University; Computational Principles of Intelligence Lab, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Conference: nips 2022 (main track)
Keywords: Representation Learning;Structure Learning;Cognitive Science;Neuroscience
Decision: Poster
Title: Efficient Risk-Averse Reinforcement Learning
Authors: Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor
Affiliations: Technion, Nvidia Research; Technion; Google Research
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;safe RL;risk averse RL;risk sensitive RL;sample efficient RL;coherent risk measures;CVaR;blindness to success;cross entropy method;CEM
Decision: Poster
Title: A Unifying Framework of Off-Policy General Value Function Evaluation
Authors: Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
Affiliations: Ohio State University, Columbus, OH 43210; Meta Platforms, Inc, Menlo Park, CA 94025; Northwestern University, Evanston, IL 60208; Yale University, New Haven, CT 06520
Conference: nips 2022 (main track)
Keywords: general value function;general Bellman operation;off-policy evaluation
Decision: Poster
Title: AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
Authors: Yue Wu, Yu Deng, Jiaolong Yang, Fangyun Wei, Qifeng Chen, Xin Tong
Affiliations: Microsoft Research; Tsinghua University; HKUST
Conference: nips 2022 (main track)
Keywords: 3D-Aware GAN;Face Generation;Face Animation;Generative Models
Decision: Poster