hunoutl/paperlists huggingface dataset:
Title: The Role of Baselines in Policy Gradient Optimization
Authors: Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvari, Dale Schuurmans
Affiliations: Mila, University of Montreal; DeepMind; Google Research, Brain Team; Mila, McGill University
Conference: nips 2022 (main track)
Keywords: reinforcement learning;policy optimization;policy gradient;global convergence
Decision: Poster
Title: Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks
Authors: Xingsi Dong, Zilong Ji, Tianhao Chu, Tiejun Huang, Wenhao Zhang, Si Wu
Affiliations: School of Psychology and Cognitive Sciences, IDG/McGovern Institute for Brain Research, PKU-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center of Quantitative Biology, Peking University; Institute of Cognitive Neuroscience, University College London; School of Computer Science, Peking University; School of Psychology and Cognitive Sciences, IDG/McGovern Institute for Brain Research, PKU-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center of Quantitative Biology, Peking University; Lyda Hill Department of Bioinformatics, O’Donnell Brain Institute, UT Southwestern Medical Center
Conference: nips 2022 (main track)
Keywords: Neuroscience;Sample-based Bayesian inference;Continuous attractor neural networks;Neural adaptation
Decision: Poster
Title: Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
Authors: Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
Affiliations: University of Cagliari, Italy; Pluribus One, Italy; University of Genoa, CINI, Italy; Pluribus One, Italy; University of Cagliari, CINI, Italy; Pluribus One, Italy; University of Genoa, Italy; Pluribus One, Italy; University of Cagliari, Italy; Google
Conference: nips 2022 (main track)
Keywords: Debugging;machine learning;adversarial machine learning
Decision: Poster
Title: Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
Authors: Aleksandr Beznosikov, Pavel Dvurechenskii, Anastasiia Koloskova, Valentin Samokhin, Sebastian Stich, Alexander Gasnikov
Affiliations: CISPA¶; Innopolis University⇤, MIPT†, HSE University and Yandex; EPFL; IITP RAS§; WIAS‡; MIPT, HSE University and IITP RAS
Conference: nips 2022 (main track)
Keywords: convex optimization;variational inequalities;saddle point problems;gossip
Decision: Poster
Title: Toward a realistic model of speech processing in the brain with self-supervised learning
Authors: Juliette MILLET, Charlotte Caucheteux, pierre orhan, Yves Boubenec, Alexandre Gramfort, Ewan Dunbar, Christophe Pallier, Jean-Remi King
Affiliations: Meta AI, Paris, France; Université Paris-Saclay, Inria, CEA, Palaiseau, France; Meta AI, Paris, France; Ecole Normale Supérieure, PSL University, Paris, France; LPI, Université de Paris cité, Paris, France; Ecole Normale Supérieure, PSL University, Paris, France; Université Paris-Saclay, Inria, CEA, Palaiseau, France; Cognitive Neuroimaging Unit, INSERM, Gif-sur-Yvette, France; Meta AI, Paris, France; Ecole Normale Supérieure, PSL University, Paris, France; Ecole Normale Supérieure, PSL University, Paris, France; University of Toronto, Toronto, Canada
Conference: nips 2022 (main track)
Keywords: Neuroscience;Deep Learning;Speech Processing;Self-supervised learning;fMRI
Decision: Poster
Title: Invariance Learning based on Label Hierarchy
Authors: Shoji Toyota, Kenji Fukumizu
Affiliations: The Graduate University for Advanced Studies, Tokyo 190-8562, Japan; The Institute of Statistical Mathematics, The Graduate University for Advanced Studies, Tokyo 190-8562, Japan
Conference: nips 2022 (main track)
Keywords: Invariance;out-of-distribution generalization;deep learning
Decision: Poster
Title: High-dimensional Additive Gaussian Processes under Monotonicity Constraints
Authors: Andrés López-Lopera, Francois Bachoc, Olivier Roustant
Affiliations: IMT, UMR5219 CNRS, Université Paul Sabatier, 31062 Toulouse, France; CERAMATHS, UPHF59313 Valenciennes, France; IMT, UMR5219 CNRS, INSA Toulouse, 31077 Toulouse, France
Conference: nips 2022 (main track)
Decision: Poster
Title: Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Authors: Ravid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann LeCun, Andrew Wilson
Affiliations: New York University; Johns Hopkins University; University of Maryland; New York University, Meta AI Research
Conference: nips 2022 (main track)
Keywords: transfer learning;foundation models;priors;Bayesian neural networks
Decision: Poster
Title: MAtt: A Manifold Attention Network for EEG Decoding
Authors: Yue-Ting Pan, Jing-Lun Chou, Chun-Shu Wei
Affiliations: National Yang Ming Chiao Tung University, Hsunchu, Taiwan
Conference: nips 2022 (main track)
Keywords: Attention network;Riemannian geometry;SPD manifold;EEG;Brain-computer interface
Decision: Poster
Title: MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Authors: Ilyes Batatia, David P Kovacs, Gregor Simm, Christoph Ortner, Gabor Csanyi
Affiliations: Engineering Laboratory, University of Cambridge, Cambridge, CB2 1PZ UK; Department of Chemistry, ENS Paris-Saclay, Université Paris-Saclay, 91190 Gif-sur-Yvette, France; Department of Mathematics, University of British Columbia, Vancouver, BC, Canada V6T 1Z2; Engineering Laboratory, University of Cambridge, Cambridge, CB2 1PZ UK
Conference: nips 2022 (main track)
Keywords: GNN;graph neural network;equivariance;higher order;message passing neural network;point clouds;molecules
Decision: Poster
Title: CLEAR: Generative Counterfactual Explanations on Graphs
Authors: Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li
Affiliations: J.P. Morgan AI Research, London, UK; Bytedance AI Lab, London, UK; University of Virginia, Charlottesville, VA, USA
Conference: nips 2022 (main track)
Keywords: Counterfactual explanations;graph;explainability
Decision: Poster
Title: Improved Fine-Tuning by Better Leveraging Pre-Training Data
Authors: Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni Chan, Rong Jin
Affiliations: Department of Automation, Tsinghua University; School of Artificial Intelligence, Dalian University of Technology; Department of Computer Science, City University of Hong Kong; DAMO Academy, Alibaba Group
Conference: nips 2022 (main track)
Keywords: Pre-Training;Fine-Tuning;Learning Theory;Self-Supervision
Decision: Poster
Title: Your Out-of-Distribution Detection Method is Not Robust!
Authors: Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Manzuri, Mohammad Hossein Rohban
Affiliations: Department of Computer Engineering, Sharif University of Technology
Conference: nips 2022 (main track)
Keywords: Out-of-distribution Detection;Adversarial Robustness;Attack
Decision: Poster
Title: The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games
Authors: Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre Bayen, YI WU
Affiliations: Shanghai Qi Zhi Institute; University of California, Berkeley; Tsinghua University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Multi-Agent Reinforcement Learning;Proximal Policy Optimization;Cooperative Games
Decision: Poster
Title: BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Authors: Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H Chen, Zhihao Jia, Philip S Yu
Affiliations: University of Virginia; Illinois Institute of Technology; Arizona State University; University of Illinois Chicago; Carnegie Mellon University; Lehigh University; Visa Research; Beihang University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Graph Mining;Graph Neural Networks;Outlier Detection;Benchmark
Decision: Poster
Title: Grounded Reinforcement Learning: Learning to Win the Game under Human Commands
Authors: Shusheng Xu, Huaijie Wang, YI WU
Affiliations: IIIS, Tsinghua University, Beijing, China; IIIS, Tsinghua University, Beijing, China and Shanghai Qi Zhi Institute, Shanghai, China
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Language Grounding;Human-AI Interaction
Decision: Poster
Title: Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Authors: Sara Fridovich-Keil, Brian Bartoldson, James Diffenderfer, Bhavya Kailkhura, Timo Bremer
Affiliations: Lawrence Livermore National Laboratory; University of California, Berkeley
Conference: nips 2022 (main track)
Keywords: OOD robustness;effective robustness;deep neural networks;spectral analysis;CLIP models
Decision: Poster
Title: Improving Policy Learning via Language Dynamics Distillation
Authors: Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel
Affiliations: Stanford University; University College London; University of Washington, Meta AI Research; University College London, Cohere
Conference: nips 2022 (main track)
Keywords: language grounding;reinforcement learning;reading to generalize
Decision: Poster
Title: Recommender Forest for Efficient Retrieval
Authors: Chao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen
Affiliations: School of Computer Science and Technology, University of Science and Technology of China, Hefei, China; Microsoft Research Asia, Beijing, China
Conference: nips 2022 (main track)
Keywords: End-to-end reommender system;Tree;Forest;Sequence;Transformer
Decision: Poster
Title: Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Authors: Jiafan He, Dongruo Zhou, Tong Zhang, Quanquan Gu
Affiliations: Google Research & HKUST; Department of Computer Science, University of California, Los Angeles
Conference: nips 2022 (main track)
Keywords: linear bandits;adversarial corruption
Decision: Poster
Title: Green Hierarchical Vision Transformer for Masked Image Modeling
Authors: Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki
Affiliations: The University of Tokyo; The University of Sydney; SenseTime Research
Conference: nips 2022 (main track)
Keywords: Self-Supervised Learning;Masked Image Modeling;Vision Transformers
Decision: Poster
Title: GriddlyJS: A Web IDE for Reinforcement Learning
Authors: Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel
Affiliations: UCL; Queen Mary University; Meta AI & UCL
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: environment design;tooling;developer tools;reinforcement learning;procedural content generation;integrated development environment;human in the loop.
Decision: Poster
Title: Natural gradient enables fast sampling in spiking neural networks
Authors: Paul Masset, Jacob Zavatone-Veth, J. Patrick Connor, Venkatesh Murthy, Cengiz Pehlevan
Affiliations: Center for Brain Science, Department of Physics, Harvard University; Center for Brain Science, Department of Molecular and Cellular Biology, Harvard University; John A. Paulson School of Engineering and Applied Sciences, Harvard University
Conference: nips 2022 (main track)
Keywords: spiking neural networks;sampling;Bayesian inference;information geometry;neural population geometry
Decision: Poster
Title: Safe Opponent-Exploitation Subgame Refinement
Authors: Mingyang Liu, Chengjie Wu, Qihan Liu, Yansen Jing, Jun Yang, Pingzhong Tang, Chongjie Zhang
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Department of Automation, Tsinghua University
Conference: nips 2022 (main track)
Decision: Poster
Title: Fast Bayesian Estimation of Point Process Intensity as Function of Covariates
Authors: Hideaki Kim, Taichi Asami, Hiroyuki Toda
Affiliations: NTT Human Informatics Laboratories, NTT Corporation; Yokohama City University
Conference: nips 2022 (main track)
Keywords: Point Process;Gaussian Cox Process;Kernel method;Permanental Process;Gaussian Process
Decision: Poster
Title: Rapid Model Architecture Adaption for Meta-Learning
Authors: Yiren Zhao, Xitong Gao, I Shumailov, Nicolo Fusi, Robert Mullins
Affiliations: University of Oxford; Shenzhen Institute of Advanced Technology, CAS; University of Cambridge; Microsoft Research; Imperial College London
Conference: nips 2022 (main track)
Keywords: NAS
Decision: Poster
Title: On Learning Fairness and Accuracy on Multiple Subgroups
Authors: Changjian Shui, Gezheng Xu, Qi CHEN, Jiaqi Li, Charles Ling, Tal Arbel, Boyu Wang, Christian Gagné
Affiliations: Mila, Quebec AI Institute; Institute Intelligence and Data, Université Laval; Institute Intelligence and Data, Université Laval; Department of Computer Science, University of Western Ontario; Centre for Intelligent Machines, McGill University; Mila, Quebec AI Institute; Centre for Intelligent Machines, McGill University; Mila, Quebec AI Institute; Institute Intelligence and Data, Université Laval
Conference: nips 2022 (main track)
Keywords: algorithmic fairness;deep learning;social aspects of machine learning
Decision: Poster
Title: Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Authors: Fuying Wang, Yuyin Zhou, Shujun WANG, Varut Vardhanabhuti, Lequan Yu
Affiliations: The University of Hong Kong; University of Cambridge; University of California, Santa Cruz
Conference: nips 2022 (main track)
Keywords: medical image;medical report;cross-modal;representation learning
Decision: Poster
Title: Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
Authors: Binghui Li, Jikai Jin, Han Zhong, John Hopcroft, Liwei Wang
Affiliations: School of EECS, Peking University; Peng Cheng Laboratory; Pazhou Laboratory (Huangpu); Center for Data Science, Peking University; School of Mathematical Sciences, Peking University; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Center for Data Science, Peking University; Cornell University
Conference: nips 2022 (main track)
Keywords: deep learning theory;adversarial robustness;robust generalization gap;expressive power
Decision: Poster
Title: Autoregressive Search Engines: Generating Substrings as Document Identifiers
Authors: Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni
Affiliations: Meta AI; Sapienza University of Rome; University College London
Conference: nips 2022 (main track)
Keywords: Natural Language Processing;Information Retrieval;Question Answering
Decision: Highlighted
Title: Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Authors: Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man (Man) Cheung
Affiliations: Singapore University of Technology and Design (SUTD)
Conference: nips 2022 (main track)
Keywords: Few-shot Image Generation;Modulation of Deep Neural Networks;Transfer Learning;Knowledge Preserve
Decision: Poster
Title: Better Best of Both Worlds Bounds for Bandits with Switching Costs
Authors: Idan Amir, Guy Azov, Tomer Koren, Roi Livni
Affiliations: Blavatnik School of CS, Tel Aviv University and Google Research; Department of EE, Tel Aviv University
Conference: nips 2022 (main track)
Keywords: Multi-Armed Bandits;Online Learning;Optimization;Decision Making
Decision: Poster
Title: Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
Authors: Zhenlin Xu, Marc Niethammer, Colin Raffel
Affiliations: Department of Computer Science, University of North Carolina at Chapel Hill
Conference: nips 2022 (main track)
Keywords: compositional generalization;generalization;compositionality;disentanglement;emergent Language;unsupervised representation learning;discrete representations
Decision: Highlighted
Title: Bootstrapped Transformer for Offline Reinforcement Learning
Authors: Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
Affiliations: Microsoft Research Asia; Shanghai Jiao Tong University
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Offline Reinforcement Learning;Sequence Modeling;Sequence Generation;Bootstrapping
Decision: Poster
Title: SeqPATE: Differentially Private Text Generation via Knowledge Distillation
Authors: Zhiliang Tian, Yingxiu Zhao, Ziyue Huang, Yu-Xiang Wang, Nevin L. Zhang, He He
Affiliations: New York University; The Hong Kong University of Science and Technology; National University of Defense Technology; UC Santa Barbara
Conference: nips 2022 (main track)
Keywords: Natural Language Generation;Text Generation;Privacy Protection;Differential Privacy
Decision: Poster
Title: Near-Optimal Sample Complexity Bounds for Constrained MDPs
Authors: XXX
Affiliations: University of California, Los Angeles; Amii, University of Alberta, DeepMind; Simon Fraser University
Conference: nips 2022 (main track)
Keywords: Constrained Markov Decision Processes;Sample complexity;Generative model;Model-based RL;Primal-dual algorithm
Decision: Poster
Title: UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units
Authors: Igor Fedorov, Ramon Matas, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul Whatmough
Affiliations: Tenstorrent, Boston, MA 01721; NVIDIA, Santa Clara, CA 95050; Arm Inc., Boston, MA 01721; Meta AI, Menlo Park, CA 94025; Qualcomm AI Research, Cambridge, MA 02140
Conference: nips 2022 (main track)
Keywords: NAS;compression;NPU
Decision: Poster
Title: Chain of Thought Imitation with Procedure Cloning
Authors: Mengjiao (Sherry) Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
Affiliations: Google Brain, University of Alberta; UC Berkeley; Google Brain; Google Brain, UC Berkeley
Conference: nips 2022 (main track)
Keywords: Imitation Learning;behavioral cloning;generalization;sequence modeling
Decision: Poster
Title: Pre-trained Adversarial Perturbations
Authors: Yuanhao Ban, Yinpeng Dong
Affiliations: Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University; RealAI; Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University; Department of Electronic Engineering, Tsinghua University
Conference: nips 2022 (main track)
Keywords: Adversarial samples;pre-trained models;security
Decision: Poster
Title: How to talk so AI will learn: Instructions, descriptions, and autonomy
Authors: Theodore Sumers, Robert Hawkins, Mark Ho, Tom Griffiths, Dylan Hadfield-Menell
Affiliations: EECS, CSAIL, MIT; Computer Science, Psychology, Princeton University; Computer Science, Princeton University; Princeton Neuroscience Institute, Princeton University
Conference: nips 2022 (main track)
Keywords: value alignment;language;instructions;descriptions;pragmatics;social learning
Decision: Poster
Title: Towards Versatile Embodied Navigation
Authors: Hanqing Wang, Wei Liang, Luc V Gool, Wenguan Wang
Affiliations: Computer Vision Lab, ETH Zurich; ReLER, AAII, University of Technology Sydney; Beijing Institute of Technology; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing
Conference: nips 2022 (main track)
Keywords: Versatile Embodied Navigation;Multitask Multimodal Embodied Navigation
Decision: Poster
Title: Truly Deterministic Policy Optimization
Authors: Ehsan Saleh, Saba Ghaffari, Tim Bretl, Matthew West
Affiliations: Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign; Department of Computer Science, University of Illinois Urbana-Champaign; Department of Computer Science and Department of Aerospace Engineering, University of Illinois Urbana-Champaign
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Policy Gradient;Deterministic Policy Gradients
Decision: Poster
Title: FR: Folded Rationalization with a Unified Encoder
Authors: Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, YuanKai Zhang
Affiliations: iWudao Tech; School of Computer Science and Technology, Huazhong University of Science and Technology
Conference: nips 2022 (main track)
Keywords: Interpretability;NLP;cooperative game
Decision: Poster
Title: When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
Authors: Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang
Affiliations: Independent Researcher; School of Mathematical Sciences, Peking University; Institute for Artificial Intelligence, Peking University; The University of Tokyo; Key Lab. of Machine Perception (MoE), School of Intelligence Science and Technology, Peking University
Conference: nips 2022 (main track)
Keywords: Vision Transformer;Adversarial Training;Robustness
Decision: Poster
Title: S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning
Authors: Yabin Wang, Zhiwu Huang, Xiaopeng Hong
Affiliations: Xi’an Jiaotong University, P. R. China; Singapore Management University, Singapore; Harbin Institute of Technology, P. R. China
Conference: nips 2022 (main track)
Keywords: Prompts Learning;Pre-trained Transformers;Occam's Razor;Domain Incremental Learning
Decision: Poster
Title: Harmonizing the object recognition strategies of deep neural networks with humans
Authors: Thomas FEL, Ivan F Rodriguez Rodriguez, Drew Linsley, Thomas Serre
Affiliations: Department of Cognitive, Linguistic, & Psychological Sciences, Brown University, Providence, RI; Artificial and Natural Intelligence Toulouse Institute (ANITI), Toulouse, France; Department of Cognitive, Linguistic, & Psychological Sciences, Brown University, Providence, RI; Artificial and Natural Intelligence Toulouse Institute (ANITI), Toulouse, France; Carney Institute for Brain Science, Brown University, Providence, RI; Department of Cognitive, Linguistic, & Psychological Sciences, Brown University, Providence, RI; Carney Institute for Brain Science, Brown University, Providence, RI
Conference: nips 2022 (main track)
Keywords: Cognitive science;human vision;explainable AI;models of biological vision;AI alignment;scaling laws
Decision: Poster
Title: VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives
Authors: Zhuofan Ying, Peter Hase, Mohit Bansal
Affiliations: Department of Computer Science, University of North Carolina at Chapel Hill
Conference: nips 2022 (main track)
Keywords: Visual question answering;feature importance supervision;right-for-the-right reason metrics;explanation faithfulness
Decision: Poster
Title: Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width
Authors: Hanxu Zhou, Zhou Qixuan, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin Xu
Affiliations: School of Mathematical Sciences, Institute of Natural Sciences, MOE-LSC and Qing Yuan Research Institute, Shanghai Jiao Tong University; Shanghai Center for Brain Science and Brain-Inspired Technology; School of Mathematical Sciences, Institute of Natural Sciences, MOE-LSC and Qing Yuan Research Institute, Shanghai Jiao Tong University; School of Mathematical Sciences, Institute of Natural Sciences, MOE-LSC and Qing Yuan Research Institute, Shanghai Jiao Tong University; CMA-Shanghai, Shanghai Artificial Intelligence Laboratory
Conference: nips 2022 (main track)
Keywords: training dynamics;neural networks;phase diagram;initialization
Decision: Poster
Title: Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Authors: Asaf Benjamin Cassel, Alon Peled-Cohen, Tomer Koren
Affiliations: Blavatnik School of Computer Science, Tel Aviv University, Google Tel Aviv; Blavatnik School of Computer Science, Tel Aviv University; School of Electrical Engineering, Tel Aviv University, and Google Tel Aviv
Conference: nips 2022 (main track)
Keywords: linear control;optimism;online convex optimization;adaptive control
Decision: Poster
Title: Model-Based Imitation Learning for Urban Driving
Authors: Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zachary Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton
Affiliations: University of Cambridge, UK.; Wayve, UK.
Conference: nips 2022 (main track)
Keywords: Autonomous Driving;Imitation Learning;World Models
Decision: Poster