hunoutl/paperlists huggingface dataset:
Title: MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Authors: Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar
Affiliations: NVIDIA, UT Austin; Caltech; Columbia; NVIDIA; NVIDIA, Caltech; SJTU; Stanford
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Embodied Agents;Minecraft;Open-ended Learning;Multitask Learning;Internet Knowledge Base;Reinforcement Learning;Large Pre-training
Decision: Highlighted
Title: Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
Authors: Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Affiliations: University of Tsukuba & RIKEN AIP, Tsukuba, Ibaraki 305-8573, Japan
Conference: nips 2022 (main track)
Keywords: Deep Reinforcement Learning;Maxmin Optimization;Sim2Real
Decision: Poster
Title: NaturalProver: Grounded Mathematical Proof Generation with Language Models
Authors: Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington and Allen Institute for Artiﬁcial Intelligence; Allen Institute for Artiﬁcial Intelligence; Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: nips 2022 (main track)
Keywords: language modeling;reasoning;neural theorem proving
Decision: Poster
Title: When Does Group Invariant Learning Survive Spurious Correlations?
Authors: Yimeng Chen, Ruibin Xiong, Zhi-Ming Ma, Yanyan Lan
Affiliations: Baidu Inc.; Academy of Mathematics and Systems Science, Chinese Academy of Sciences and University of Chinese Academy of Sciences; Institute for AI Industry Research, Tsinghua University and Beijing Academy of Artificial Intelligence, Beijing, China
Conference: nips 2022 (main track)
Keywords: invariant learning;environment inference;spurious correlation
Decision: Poster
Title: Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
Authors: Hui En Pang, Zhongang Cai, Lei Yang, Tianwei Zhang, Ziwei Liu
Affiliations: S-Lab, Nanyang Technological University; SenseTime Research; S-Lab, Nanyang Technological University; SenseTime Research
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Human Body Reconstruction;SMPL Model;2D and 3D Pose;Pose and Shape Estimation;Human Mesh Recovery
Decision: Poster
Title: A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate
Authors: Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander Gasnikov, Peter Richtarik, Martin Takac
Affiliations: MBZUAI†, MIPT§, ISP RAS¶; KAUST‡; MIPT§, ISP RAS¶, HSE∥; MBZUAI†, KAUST‡; MBZUAI†
Conference: nips 2022 (main track)
Keywords: Cubic Newton method;Damped Newton method;fast global convergence;convex optimization
Decision: Poster
Title: BadPrompt: Backdoor Attacks on Continuous Prompts
Authors: Xiangrui Cai, Haidong Xu, Sihan Xu, Ying ZHANG, Yuan xiaojie
Affiliations: TKLNDST, College of Cyber Science, Nankai University; TMCC, College of Computer Science, Nankai University; TKLNDST, TMCC, College of Computer Science, Nankai University; TKLNDST, TMCC, College of Cyber Science, Nankai University
Conference: nips 2022 (main track)
Keywords: Continuous prompt;backdoor;few-shot learning
Decision: Poster
Title: Rethinking Resolution in the Context of Efficient Video Recognition
Authors: Chuofan Ma, Qiushan Guo, Yi Jiang, Ping Luo, Zehuan Yuan, Xiaojuan Qi
Affiliations: The University of Hong Kong; ByteDance Inc.
Conference: nips 2022 (main track)
Keywords: Efficient Video Recognition;Action Recognition
Decision: Poster
Title: Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Authors: Yiping Lu, Jose Blanchet, Lexing Ying
Affiliations: Management Science and Engineering, Stanford University, Stanford, CA 94305; ICME, Stanford University, Stanford, CA 94305; Department of Mathematics, Stanford University, Stanford, CA 94305
Conference: nips 2022 (main track)
Keywords: PDE;Ritz Methods;nonparametric estimation;Physics
Decision: Poster
Title: Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond
Authors: Hengquan Guo, Xin Liu, Honghao Wei, Lei Ying
Affiliations: University of Michigan, Ann Arbor; ShanghaiTech University
Conference: nips 2022 (main track)
Keywords: online convex optimization;hard constraints;cumulative absolute violation;best of two worlds and beyond
Decision: Poster
Title: Conformalized Fairness via Quantile Regression
Authors: Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang
Affiliations: Department of Mathematical and Statistical Sciences, University of Alberta; Huawei Noah’s Ark Lab Canada; Department of Mathematics, University of Texas at Arlington
Conference: nips 2022 (main track)
Keywords: Fairness;Quantile regression;Conformal prediction;Optimal transport;Functional synchronization
Decision: Poster
Title: Fair Wrapping for Black-box Predictions
Authors: Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
Affiliations: Australian National University; Google Research, Tel Aviv University; Google Research, Australian National University; Australian National University, CSIRO’s Data61; Google Research, Stanford University; Google Research
Conference: nips 2022 (main track)
Keywords: Fairness;post-processing;loss functions;boosting
Decision: Poster
Title: TransBoost: Improving the Best ImageNet Performance using Deep Transduction
Authors: Omer Belhasin, Guy Bar-Shalom, Ran El-Yaniv
Affiliations: Department of Computer Science, Technion - Israel Institute of Technology; Department of Computer Science, Technion - Israel Institute of Technology, Deci.AI
Conference: nips 2022 (main track)
Keywords: Deep Transductive Learning;Image Classification
Decision: Poster
Title: Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound
Authors: Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, Ioannis Mitliagkas
Affiliations: Mila, Université de Montréal; Ecole Polytechnique; Mila, Université de Montréal, Canada CIFAR AI chair
Conference: nips 2022 (main track)
Keywords: First-Order Optimization;Non-Convex;Deterministic;Gradient Descent;Restricted Secant Inequality;Error Bounds
Decision: Poster
Title: PAC Prediction Sets for Meta-Learning
Authors: Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani
Affiliations: Dept. of Computer & Info. Science, PRECISE Center, University of Pennsylvania; School of Cybersecurity and Privacy, Georgia Institute of Technology; Dept. of Statistics & Data Science, The Wharton School, University of Pennsylvania
Conference: nips 2022 (main track)
Keywords: uncertainty quantification;prediction sets;probably approximately correct;conformal prediction;meta learning;few-shot learning
Decision: Poster
Title: Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms
Authors: Alireza Fallah, Ali Makhdoumi, azarakhsh malekian, Asuman Ozdaglar
Affiliations: EECS Department, Massachusetts Institute of Technology; Fuqua School of Business, Duke University; Rotman School of Management, University of Toronto
Conference: nips 2022 (main track)
Keywords: Mechanism design;algorithmic game theory;optimal data acquisition;differential privacy
Decision: Poster
Title: Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness
Authors: Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang
Affiliations: University of Waterloo; TTI Chicago
Conference: nips 2022 (main track)
Keywords: boosting;adversarial robustness;sample complexity;oracle complexity
Decision: Poster
Title: Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks
Authors: Jianan Zhou, Jianing Zhu, Jingfeng ZHANG, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama
Affiliations: Hong Kong Baptist University; The University of Tokyo; RIKEN Center for Advanced Intelligence Project; TML Lab, The University of Sydney
Conference: nips 2022 (main track)
Keywords: adversarial training;weakly supervised learning;complementary label
Decision: Poster
Title: Global Convergence and Stability of Stochastic Gradient Descent
Authors: Vivak Patel, Shushu Zhang, Bowen Tian
Affiliations: Department of Statistics, University of Wisconsin – Madison, Madison, WI 53706; Department of Statistics, University of Michigan – Ann Arbor; Department of Statistics, The Ohio State University
Conference: nips 2022 (main track)
Keywords: Stochastic Gradient Descent;Nonconvexity;General Noise Models;Global Convergence
Decision: Poster
Title: DivBO: Diversity-aware CASH for Ensemble Learning
Authors: Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin CUI
Affiliations: Key Lab of High Confidence Software Technologies, Peking University, China; ZTE Corporation, China; Institute of Computational Social Science, Peking University (Qingdao), China; Data Platform, TEG, Tencent Inc., China; Mila - Québec AI Institute, HEC, Montréal, Canada
Conference: nips 2022 (main track)
Keywords: Automated Machine Learning;Hyperparameter Optimization;CASH;Ensemble Learning;Diversity
Decision: Poster
Title: Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
Authors: Hugo Caselles-Dupré, Olivier Sigaud, Mohamed CHETOUANI
Affiliations: Sorbonne Université, CNRS, Institut des Systèmes Intelligents et de Robotique (ISIR), Paris, France
Conference: nips 2022 (main track)
Keywords: learning from demonstration;multi-goal environments;pedagogical teaching;pragmatic reasoning
Decision: Poster
Title: Depth is More Powerful than Width with Prediction Concatenation in Deep Forest
Authors: Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China.
Conference: nips 2022 (main track)
Keywords: ensemble learning;deep forest;consistency;convergence rate
Decision: Highlighted
Title: NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
Authors: Qitian Wu, Wentao Zhao, Zenan Li, David P Wipf, Junchi Yan
Affiliations: Amazon Web Service, Shanghai AI Lab; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Graph Transformers;Large Graphs;Node Classification;Scalability;Graph Structure Learning
Decision: Poster
Title: Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
Authors: Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University; Singapore Institute of Manufacturing Technology, A*STAR; National University of Singapore; University of Melbourne
Conference: nips 2022 (main track)
Keywords: learning to optimize;vehicle routing problem;knowledge distillation;generalization;combinatorial optimization
Decision: Poster
Title: Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Authors: Kuan-Lin Chen, Harinath Garudadri, Bhaskar D Rao
Affiliations: Qualcomm Institute, University of California, San Diego, La Jolla, CA 92093, USA; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA
Conference: nips 2022 (main track)
Keywords: deep neural networks;rectified linear units;neural complexity;piecewise linear functions
Decision: Poster
Title: Information-Theoretic GAN Compression with Variational Energy-based Model
Authors: Minsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong Euk Lee, Bohyung Han
Affiliations: ECE & IPAI, Seoul National University; Samsung Advanced Institute of Technology (SAIT)
Conference: nips 2022 (main track)
Keywords: GAN Compression;Knowledge Distillation;Mutual Information
Decision: Poster
Title: MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
Authors: Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew Hausknecht
Affiliations: Institute for Robotics and Intelligent Machines, Georgia Institute of Technology; Microsoft Research
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: mocap;motion capture;hierarchical reinforcement learning;humanoid control;task transfer;motion completion
Decision: Poster
Title: Unsupervised Skill Discovery via Recurrent Skill Training
Authors: Zheyuan Jiang, Jingyue Gao, Jianyu Chen
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Department of Computer Science, Tsinghua University; Shanghai Qizhi Institute
Conference: nips 2022 (main track)
Keywords: Deep Reinforcement Learning;Unsupervised Skill Discovery;Deep Learning;Unsupervised Reinforcement Learning
Decision: Poster
Title: LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks
Authors: Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
Affiliations: University of Wisconsin-Madison, USA
Conference: nips 2022 (main track)
Keywords: language interface;language-interfaced learning;fine-tuning;language models;non-language tasks;regression;classification.
Decision: Poster
Title: Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
Authors: Fabrizio Frasca, Beatrice Bevilacqua, Michael Bronstein, Haggai Maron
Affiliations: University of Oxford & Twitter; Purdue University; Imperial College London & Twitter; NVIDIA Research
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Subgraphs;Expressive power;Equivariance;Weisfeiler-Leman
Decision: Highlighted
Title: EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
Authors: Thomas Carta, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier
Affiliations: Inria - Flowers team, Université de Bordeaux; Inria - Flowers team, Université de Bordeaux, Microsoft Research Montreal; ISIR Sorbonne Université, Paris, France; ISIR Sorbonne Université, Univ Angers, LERIA, SFR MATHSTIC, F-49000 Angers, France
Conference: nips 2022 (main track)
Keywords: language-conditioned RL;automatic reward shaping;intrinsic rewards;exploration;auxiliary objectives;question generation;question answering
Decision: Poster
Title: Is Out-of-Distribution Detection Learnable?
Authors: Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu
Affiliations: School of Mathematics and Statistics, University of Melbourne; Department of Computer Sciences, University of Wisconsin-Madison; Australian Artificial Intelligence Institute, University of Technology Sydney; Department of Computer Science, Hong Kong Baptist University; State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: AI Reliability
Decision: Highlighted
Title: Rethinking Image Restoration for Object Detection
Authors: Shangquan Sun, Wenqi Ren, Tao Wang, Xiaochun Cao
Affiliations: School of Cyber Science and Technology, Sun Yat-sen University, Shenzhen Campus, Shenzhen, China 518107; State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China 100093; Huawei Technologies Co., Ltd., Beijing, China 100085
Conference: nips 2022 (main track)
Keywords: Image Restoration;Object Detection;Image Dehazing;Low Light Enhancement;Targeted Adversarial Attack
Decision: Poster
Title: Template based Graph Neural Network with Optimal Transport Distances
Authors: Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Affiliations: Univ. Bretagne-Sud, CNRS, IRISA, F-56000 Vannes; IP Paris, CMAP, UMR 7641, F-91120 Palaiseau; Univ. Lyon, INRIA, CNRS, ENS de Lyon, LIP UMR 5668, F-69342 Lyon; Univ. Côte d’Azur, INRIA, CNRS, LJAD, F-06100 Nice
Conference: nips 2022 (main track)
Keywords: Optimal Transport;Graph Neural Networks;Graph classification;Graph Representation Learning
Decision: Highlighted
Title: Learning Physical Dynamics with Subequivariant Graph Neural Networks
Authors: Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan
Affiliations: MIT BCS, CBMM, CSAIL; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing Key Laboratory of Big Data Management and Analysis Methods; University of California, Berkeley; UMass Amherst, MIT-IBM Watson AI Lab; Tsinghua University; Stanford University
Conference: nips 2022 (main track)
Keywords: physical dynamics;graph neural networks;symmetry
Decision: Poster
Title: Federated Submodel Optimization for Hot and Cold Data Features
Authors: Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, yanghe feng, Guihai Chen
Affiliations: Alibaba Group; University of Texas at Dallas; Shanghai Jiao Tong University; National University of Defense Technology
Conference: nips 2022 (main track)
Keywords: federated learning;optimization;recommender system;natural language processing
Decision: Poster
Title: LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
Authors: Xinyu Pi, Wanjun Zhong, Yan Gao, Nan Duan, Jian-Guang Lou
Affiliations: University of Illinois Urbana-Champaign, Urbana, USA; Microsoft Research Asia; Sun Yat-Sen University, Microsoft Research Asia
Conference: nips 2022 (main track)
Keywords: NLP;Reasoning;Logic Pre-training
Decision: Poster
Title: A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
Authors: Damek Davis, Dmitriy Drusvyatskiy, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
Affiliations: Cornell University; Massachussetts Institute of Technology; University of Washington, Seattle
Conference: nips 2022 (main track)
Keywords: nonconvex optimization;nonsmooth optimization;nonconvex nonsmooth optimization;Goldstein subdifferential;cutting plane method.
Decision: Highlighted
Title: Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
Authors: Soon Hoe Lim, Yijun Wan, Umut Simsekli
Affiliations: DI ENS, École Normale Supérieure, Université PSL, CNRS, INRIA; Nordita, KTH Royal Institute of Technology and Stockholm University; Département de Mathématiques et Applications, École Normale Supérieure, Université PSL
Conference: nips 2022 (main track)
Keywords: gradient descent;chaos;stochastic differential equations;heavy tails;homogenization
Decision: Poster
Title: ASPiRe: Adaptive Skill Priors for Reinforcement Learning
Authors: Mengda Xu, Manuela Veloso, Shuran Song
Affiliations: Department of Computer Science, Columbia University; J.P. Morgan AI Research, School of Computer Science, Carnegie Mellon University (emeritus)
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Skill Learning;Composing Skill
Decision: Poster
Title: FETA: Towards Specializing Foundational Models for Expert Task Applications
Authors: Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter Staar, Kate Saenko, Rogerio Feris, Leonid Karlinsky
Affiliations: MIT-IBM AI-Watson Lab, Boston University; IBM Research; MIT-IBM AI-Watson Lab; IBM Research, Technion
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: foundational models;multi-modal;long tail content adaptation;benchmark
Decision: Poster
Title: Learning Contrastive Embedding in Low-Dimensional Space
Authors: Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama
Affiliations: PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, China; RIKEN Center for Advanced Intelligence Project (AIP), Japan; RIKEN Center for Advanced Intelligence Project (AIP), Japan; Graduate School of Frontier Sciences, The University of Tokyo, Japan
Conference: nips 2022 (main track)
Keywords: contrastive learning;dimensionality reduction;autoencoder;representation learning
Decision: Poster
Title: On the Convergence Theory for Hessian-Free Bilevel Algorithms
Authors: Daouda Sow, Kaiyi Ji, Yingbin Liang
Affiliations: Department of CSE, University at Buffalo; Department of ECE, The Ohio State University
Conference: nips 2022 (main track)
Keywords: Convergence Rate;Computational Complexity;Jacobian Matrix;Stochastic Algorithm;Bilevel Optimization
Decision: Poster
Title: Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
Authors: Georgios Piliouras, Ryann Sim, Stratis Skoulakis
Affiliations: SUTD; EPFL
Conference: nips 2022 (main track)
Keywords: Regret;Coarse correlated equilibria;Online learning;Game theory
Decision: Poster
Title: Online Frank-Wolfe with Arbitrary Delays
Authors: Yuanyu Wan, Wei-Wei Tu, Lijun Zhang
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; School of Software Technology, Zhejiang University, Ningbo, China; Zhejiang University-China Southern Power Grid Joint Research Centre on AI, Hangzhou, China; 4Paradigm Inc., Beijing, China; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2022 (main track)
Keywords: Online Convex Optimization;Online Frank-Wolfe;Arbitrary Delays
Decision: Poster
Title: No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
Authors: Rylan Schaeffer, Mikail Khona, Ila Fiete
Affiliations: Computer Science, Stanford; Brain and Cognitive Sciences, MIT; Physics, MIT
Conference: nips 2022 (main track)
Keywords: neuroscience;deep learning;grid cells;path integration;representation learning
Decision: Poster
Title: Single-phase deep learning in cortico-cortical networks
Authors: Will Greedy, Heng Wei Zhu, Joseph Pemberton, Jack Mellor, Rui Ponte Costa
Affiliations: Bristol Computational Neuroscience Unit, School of Phys., Pharm. and Neuroscience, University of Bristol, United Kingdom; Bristol Computational Neuroscience Unit, Department of Computer Science, SCEEM, University of Bristol, United Kingdom; School of Phys., Pharm. and Neuroscience, University of Bristol, United Kingdom
Conference: nips 2022 (main track)
Keywords: cortical microcircuits;deep learning;synaptic plasticity;biologically plausible learning;neuroscience
Decision: Highlighted
Title: Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
Authors: Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
Affiliations: Dept. of Computer Science & Munich Data Science Institute, Technical University of Munich; CISPA Helmholtz Center for Information Security
Conference: nips 2022 (main track)
Keywords: Robustness Certificates;Adversarial Robustness;Randomized Smoothing;Graph Neural Networks
Decision: Poster
Title: Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Authors: Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron Courville, Marc Bellemare
Affiliations: MILA; Google Research, Brain Team
Conference: nips 2022 (main track)
Keywords: Reusing Computation;Deep RL;Research Workflow
Decision: Poster
Title: A Kernelised Stein Statistic for Assessing Implicit Generative Models
Authors: Wenkai Xu, Gesine D Reinert
Affiliations: Department of Statistics, University of Oxford and Alan Turing Institute; Department of Statistics, University of Oxford
Conference: nips 2022 (main track)
Keywords: Stein's method;kernel method;model assessment;generative models
Decision: Poster
Title: Advancing Model Pruning via Bi-level Optimization
Authors: Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
Affiliations: Michigan State University, IBM Research; University of Texas at Austin; Northeastern University; IBM Research; Michigan State University; University of Minnesota, Twin Cities
Conference: nips 2022 (main track)
Keywords: pruning;bi-level optimization
Decision: Poster