hunoutl/paperlists huggingface dataset:
Title: Learning transferable motor skills with hierarchical latent mixture policies
Authors: Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
Affiliations: DeepMind, London, UK
Conference: iclr 2022 (main track)
Keywords: Robotics;Reinforcement Learning;Hierarchical;Latent Variable Models;Skills;Transfer
Decision: Spotlight
Title: DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
Authors: Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind Picard
Affiliations: MIT; Google Research / MIT; Google Research
Conference: iclr 2022 (main track)
Keywords: Explainability;Interpretability;Counterfactual generation;Generative Adversarial Network;Variational Autoencoder
Decision: Poster
Title: GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
Authors: Youngsoo Jang, Jongmin Lee, Kee-Eung Kim
Affiliations: Graduate School of AI, KAIST, Daejeon, Republic of Korea; School of Computing, KAIST, Daejeon, Republic of Korea
Conference: iclr 2022 (main track)
Keywords: task-oriented dialogue;pre-trained language model;offline reinforcement learning
Decision: Poster
Title: Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
Authors: Kohei Miyaguchi, Takayuki Katsuki, Akira Koseki, Toshiya Iwamori
Affiliations: IBM Research – Tokyo
Conference: iclr 2022 (main track)
Keywords: Black-box variational inference;missing values;evidence upper bound
Decision: Oral
Title: Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
Authors: Yurong You, Katie Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Weinberger
Affiliations: Cornell University, Ithaca, NY; The Ohio State University, Columbus, OH
Conference: iclr 2022 (main track)
Keywords: 3D object detection;perception with historical context
Decision: Poster
Title: Optimal Transport for Causal Discovery
Authors: Ruibo Tu, Kun Zhang, Hedvig Kjellström, Cheng Zhang
Affiliations: KTH Royal Institute of Technology, Silo AI; Microsoft Research; KTH Royal Institute of Technology; Carnegie Mellon University, Mohamed bin Zayed University of Artiﬁcial Intelligence
Conference: iclr 2022 (main track)
Keywords: causal discovery;optimal transport;functional causal model
Decision: Spotlight
Title: Random matrices in service of ML footprint: ternary random features with no performance loss
Authors: Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet
Affiliations: University Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG, 38000 Grenoble, France; Huazhong University of Science & Technology, China; Huawei Noah’s Ark Lab (London)
Conference: iclr 2022 (main track)
Keywords: Computationally efficient methods;kernel methods;random features;random matrix theory
Decision: Poster
Title: MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
Authors: Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk
Affiliations: Rice University
Conference: iclr 2022 (main track)
Keywords: Deep Generative Networks;Uniform Sampling;Fairness;Data Augmentation
Decision: Poster
Title: On Redundancy and Diversity in Cell-based Neural Architecture Search
Authors: Xingchen Wan, Binxin Ru, Pedro Esperança, Zhenguo Li
Affiliations: Huawei Noah’s Ark Lab, London; Machine Learning Research Group, University of Oxford; Huawei Noah’s Ark Lab, Hong Kong
Conference: iclr 2022 (main track)
Keywords: NAS;machine learning architectures;AutoML
Decision: Poster
Title: Automated Self-Supervised Learning for Graphs
Authors: Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
Affiliations: New Jersey Institute of Technology; Snap Inc.; Michigan State University; City University of Hong Kong
Conference: iclr 2022 (main track)
Keywords: Self-supervised learning;Graph neural networks;AutoML
Decision: Poster
Title: CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability
Authors: Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting
Affiliations: AI and Machine Learning Group, Dept. of Computer Science, TU Darmstadt, Germany; Centre for Cognitive Science, TU Darmstadt, Germany; Hessian Center for AI (hessian.AI), Darmstadt, Germany; AI and Machine Learning Group, Dept. of Computer Science, TU Darmstadt, Germany
Conference: iclr 2022 (main track)
Keywords: continual learning;lifelong learning;machine learning evaluation
Decision: Poster
Title: Understanding approximate and unrolled dictionary learning for pattern recovery
Authors: Benoît Malézieux, Thomas Moreau, Matthieu Kowalski
Affiliations: Université Paris-Saclay, Inria, CEA, L2S, Université Paris-Saclay–CNRS–CentraleSupelec; L2S, Université Paris-Saclay–CNRS–CentraleSupelec, Gif-sur-Yvette, 91190, France; Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France
Conference: iclr 2022 (main track)
Keywords: Dictionary learning;bi-level optimization;unrolling;pattern learning
Decision: Poster
Title: Multi-Critic Actor Learning: Teaching RL Policies to Act with Style
Authors: Siddharth Mysore, George Cheng, yunqi zhao, Kate Saenko, Meng Wu
Affiliations: Boston University & Electronic Arts; Electronic Arts; Boston University & MIT-IBM Watson AI Lab
Conference: iclr 2022 (main track)
Keywords: Reinforcement Learning;Multi-Style Learning;Multi-Task Learning;Actor-Critic
Decision: Poster
Title: Towards Understanding Generalization via Decomposing Excess Risk Dynamics
Authors: Jiaye Teng, Jianhao Ma, Yang Yuan
Affiliations: Department of Industrial and Operational Engineering, University of Michigan, Ann Arbor; Institute for Interdisciplinary Information Sciences, Tsinghua University and Shanghai Qi Zhi Institute; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: iclr 2022 (main track)
Keywords: generalization;excess risk;stability;dynamics
Decision: Poster
Title: Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums
Authors: Rui Pan, Haishan Ye, Tong Zhang
Affiliations: The Hong Kong University of Science and Technology; Xi’an Jiaotong University
Conference: iclr 2022 (main track)
Keywords: optimization;learning rate schedule;optimal convergence rate
Decision: Poster
Title: In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Authors: Borja G. Leon, Murray Shanahan, Francesco Belardinelli
Affiliations: Department of Computing, Imperial College London, London, United Kingdom; IBISC, Université d’Evry, Evry, France
Conference: iclr 2022 (main track)
Keywords: Deep Reinforcement Learning;Out-Of-Distribution Generalisation;Temporal Logic
Decision: Poster
Title: Enabling Arbitrary Translation Objectives with Adaptive Tree Search
Authors: Wang Ling, Wojciech Stokowiec, Domenic Donato, Chris Dyer, Lei Yu, Laurent Sartran, Austin Matthews
Affiliations: Amazon.com; Talka, Inc.; DeepMind, Ltd.
Conference: iclr 2022 (main track)
Keywords: Machine Translation;Decoding;MCTS;Beam Search
Decision: Poster
Title: Proof Artifact Co-Training for Theorem Proving with Language Models
Authors: Jesse Han, Jason Rute, Yuhuai Wu, Edward Ayers, Stanislas Polu
Affiliations: Carnegie Mellon University‡; Google Research, Stanford University†; University of Pittsburgh; OpenAI; IBM Research∗
Conference: iclr 2022 (main track)
Keywords: self-supervised learning;mathematics;reasoning;theorem proving;language modeling
Decision: Poster
Title: Autonomous Learning of Object-Centric Abstractions for High-Level Planning
Authors: Steven James, Benjamin Rosman, George D Konidaris
Affiliations: University of the Witwatersrand, Johannesburg, South Africa; Brown University, Providence RI 02912, USA
Conference: iclr 2022 (main track)
Keywords: reinforcement learning;planning;multitask;transfer;objects
Decision: Poster
Title: Concurrent Adversarial Learning for Large-Batch Training
Authors: LIU YONG, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You
Affiliations: Department of Computer Science and Engineering, Hong Kong University of Science and Technology; Department of Computer Science, National University of Singapore; Department of Computer Science, University of California, Los Angeles
Conference: iclr 2022 (main track)
Keywords: Distributed Machine Learnig;Large-Batch Training;Adversarial Learning
Decision: Poster
Title: Gradient Information Matters in Policy Optimization by Back-propagating through Model
Authors: Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
Affiliations: Microsoft Research Asia; Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Beijing Jiaotong University; Institute of Computing Technology, Chinese Academy of Sciences
Conference: iclr 2022 (main track)
Keywords: Model-based RL;Policy Optimization
Decision: Poster
Title: Towards General Function Approximation in Zero-Sum Markov Games
Authors: Baihe Huang, Jason Lee, Zhaoran Wang, Zhuoran Yang
Affiliations: Department of Statistics and Data Science, Yale University; School of Mathematical Sciences, Peking University; Department of Electrical and Computer Engineering, Princeton University; Departments of Industrial Engineering & Management Sciences, Northwestern University
Conference: iclr 2022 (main track)
Decision: Poster
Title: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Authors: Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz
Affiliations: CISPA Helmholtz Center for Information Security; Salesforce Research, University of Maryland, Max Planck Institute for Informatics; University of Maryland
Conference: iclr 2022 (main track)
Keywords: Generative models;fingerprinting;responsible disclosure;deep fake detection and attribution
Decision: Spotlight
Title: Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
Authors: Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh
Affiliations: Department of Engineering Science, University of Oxford; Applied AI Institute, Deakin University
Conference: iclr 2022 (main track)
Keywords: offline policy learning;offline contextual bandits;neural network function approximation
Decision: Poster
Title: Mapping conditional distributions for domain adaptation under generalized target shift
Authors: Matthieu Kirchmeyer, alain rakotomamonjy, Emmanuel de Bézenac, patrick gallinari
Affiliations: CNRS-ISIR, Sorbonne University; Criteo AI Lab; Universit ´e de Rouen, LITIS; Criteo AI Lab; CNRS-ISIR, Sorbonne University
Conference: iclr 2022 (main track)
Keywords: Unsupervised domain adaptation;generalized target shift
Decision: Poster
Title: CoBERL: Contrastive BERT for Reinforcement Learning
Authors: Andrea Banino, Adria Puigdomenech Badia, Jacob C Walker, Tim Scholtes, Jovana Mitrovic, Charles Blundell
Affiliations: DeepMind London
Conference: iclr 2022 (main track)
Keywords: Reinforcement Learning;Contrastive Learning;Representation Learning;Transformer;Deep Reinforcement Learning
Decision: Spotlight
Title: Graphon based Clustering and Testing of Networks: Algorithms and Theory
Authors: Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
Affiliations: Technical University of Munich; Technical University of Munich, Munich Data Science Institute; University of Tübingen
Conference: iclr 2022 (main track)
Keywords: Clustering;Networks;Graphs;Two-sample testing;Graphon
Decision: Poster
Title: Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Authors: Yu Meng, Chenyan Xiong, Payal Bajaj, saurabh tiwary, Paul N Bennett, Jiawei Han, Xia Song
Affiliations: University of Illinois at Urbana-Champaign; Microsoft
Conference: iclr 2022 (main track)
Keywords: Language Model Pretraining
Decision: Poster
Title: Understanding and Leveraging Overparameterization in Recursive Value Estimation
Authors: Chenjun Xiao, Bo Dai, Jincheng Mei, Oscar Ramirez, Ramki Gummadi, Chris Harris, Dale Schuurmans
Affiliations: Google, Department of Computing Science, University of Alberta; Google
Conference: iclr 2022 (main track)
Keywords: Temporal Difference Learning;Residual Minimization;Value Estimation;Overparameterization
Decision: Poster
Title: What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
Authors: Zhiyuan Li, Tianhao Wang, Sanjeev Arora
Affiliations: Department of Statistics and Data Science, Yale University; Department of Computer Science, Princeton University
Conference: iclr 2022 (main track)
Keywords: SGD;implicit bias;generalization;deep learning;implicit regularization;manifold
Decision: Spotlight
Title: Learning to Guide and to be Guided in the Architect-Builder Problem
Authors: Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Chris J Pal, Pierre-Yves Oudeyer
Affiliations: Qu´ebec AI institute (Mila), Polythechnique Montr´eal, ServiceNow - Element AI; Inria - Flowers team, Universit´e de Bordeaux; Inria - Flowers team, Universit´e de Bordeaux, ENSTA ParisTech; Inria - Flowers team, Univ. Bordeaux, Microsoft Research Montreal; Qu´ebec AI institute (Mila), McGill University
Conference: iclr 2022 (main track)
Keywords: Social Learning;Interactive Learning;Teacher-Student Learning;Computational Experimental Semiotics;Socially Supervised Learning
Decision: Poster
Title: SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
Authors: Manuel Nonnenmacher, Thomas Pfeil, Ingo Steinwart, David Reeb
Affiliations: Bosch Center for Artiﬁcial Intelligence (BCAI), Robert Bosch GmbH, 71272 Renningen, Germany; Institute for Stochastics and Applications, University of Stuttgart, 70569 Stuttgart, Germany
Conference: iclr 2022 (main track)
Keywords: Structured Pruning;Saliency-based Pruning;Network Compression;Hessian Approximation;Neural Architecture Search;Deep Learning;Computer Vision
Decision: Spotlight
Title: Conditioning Sequence-to-sequence Networks with Learned Activations
Authors: Alberto Gil Couto Pimentel Ramos, Abhinav Mehrotra, Nicholas Lane, Sourav Bhattacharya
Affiliations: Samsung AI Centre, Cambridge, UK; Samsung AI Centre, Cambridge, UK and University of Cambridge, UK
Conference: iclr 2022 (main track)
Keywords: Conditional Neural Networks;Sound Enhancement;Personalized ASR
Decision: Poster
Title: Learning Optimal Conformal Classifiers
Authors: David Stutz, Krishnamurthy Dvijotham, Ali Taylan Cemgil, Arnaud Doucet
Affiliations: DeepMind; Max Planck Institute for Informatics, Saarland Informatics Campus; DeepMind
Conference: iclr 2022 (main track)
Keywords: conformal prediction;conformal classification;uncertainty estimation
Decision: Spotlight
Title: Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
Authors: Hanyu Peng, Mingming Sun, Ping Li
Affiliations: Cognitive Computing Lab, Baidu Research, No.10 Xibeiwang East Road, Beijing 100193, China; 10900 NE 8th St. Bellevue, Washington 98004, USA
Conference: iclr 2022 (main track)
Keywords: Long-tailed recognition;imbalanced classification;optimal transport
Decision: Poster
Title: Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
Authors: Leslie O'Bray, Max Horn, Bastian Rieck, Karsten Borgwardt
Affiliations: Department of Biosystems Science and Engineering, ETH Zürich, Switzerland; SIB Swiss Institute of Bioinformatics, Switzerland; Department of Biosystems Science and Engineering, ETH Zürich, Switzerland; SIB Swiss Institute of Bioinformatics, Switzerland; Institute of AI for Health, Helmholtz Munich, Germany; Technical University of Munich, Germany
Conference: iclr 2022 (main track)
Keywords: graph generative models;model evaluation
Decision: Spotlight
Title: Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
Authors: Wei Huang, Yayong Li, weitao du, Richard Xu, Jie Yin, Ling Chen, Miao Zhang
Affiliations: Aalborg University; Northeastern University; University of Technology Sydney; The University of Sydney
Conference: iclr 2022 (main track)
Keywords: Trainablity;Graph Neural Tangent Kernel;Critical DropEdge
Decision: Poster
Title: On the Certified Robustness for Ensemble Models and Beyond
Authors: Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li
Affiliations: University of Illinois Urbana-Champaign; Peking University; Lawrence Livermore National Laboratory
Conference: iclr 2022 (main track)
Keywords: robustness;ensemble;certified robustness
Decision: Poster
Title: Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions
Authors: Bertrand Charpentier, Oliver Borchert, Daniel Zügner, Simon Geisler, Stephan Günnemann
Affiliations: Department of Informatics & Munich Data Science Institute, Technical University of Munich, Germany
Conference: iclr 2022 (main track)
Keywords: Uncertainty;Exponential Family;Bayesian Update;Conjugate Prior
Decision: Spotlight
Title: Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
Authors: Lixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang, Qi Zhu
Affiliations: Northwestern University
Conference: iclr 2022 (main track)
Keywords: Domain Adaptation;Transfer Learning;Societal Considerations of Representation Learning;Model Watermark
Decision: Oral
Title: Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
Authors: Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum
Affiliations: Manning College of Information & Computer Sciences, University of Massachusetts Amherst
Conference: iclr 2022 (main track)
Keywords: Multi-label classification;Box Embeddings;Representation Learning;Embeddings
Decision: Poster
Title: Group equivariant neural posterior estimation
Authors: Maximilian Dax, Stephen Green, Jonathan Gair, Michael Deistler, Bernhard Schoelkopf, Jakob Macke
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Max Planck Institute for Intelligent Systems & Machine Learning in Science, University of Tübingen, Tübingen, Germany; Machine Learning in Science, University of Tübingen, Tübingen, Germany; Max Planck Institute for Gravitational Physics, Potsdam, Germany
Conference: iclr 2022 (main track)
Keywords: simulation-based inference;likelihood-free inference;machine learning for science;equivariances;group transformations
Decision: Poster
Title: Language model compression with weighted low-rank factorization
Authors: Yen-Chang Hsu, Ting Hua, Sung-En Chang, Qian Lou, Yilin Shen, Hongxia Jin
Affiliations: Northeastern University; Samsung Research America
Conference: iclr 2022 (main track)
Keywords: model compression;low-rank approximation;transformer;language model
Decision: Poster
Title: RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
Authors: Pingchuan Ma, Tao Du, Joshua B Tenenbaum, Wojciech Matusik, Chuang Gan
Affiliations: MIT CSAIL; MIT BCS, CBMM, CSAIL; MIT-IBM Watson AI Lab
Conference: iclr 2022 (main track)
Keywords: differentiable rendering;differentiable simulation;system identification
Decision: Oral
Title: Stiffness-aware neural network for learning Hamiltonian systems
Authors: SENWEI Liang, Zhongzhan Huang, Hong Zhang
Affiliations: Sun Yat-sen University; Purdue University; Argonne National Laboratory
Conference: iclr 2022 (main track)
Keywords: Hamiltonain systems;Neural network;Stiff dynamical systems;Data-driven method
Decision: Poster
Title: InfinityGAN: Towards Infinite-Pixel Image Synthesis
Authors: Chieh Hubert Lin, Hsin-Ying Lee, Yen-Chi Cheng, Sergey Tulyakov, Ming-Hsuan Yang
Affiliations: Snap Inc.; Carnegie Mellon University; UC Merced, Yonsei University, Google Research; UC Merced
Conference: iclr 2022 (main track)
Keywords: generative modeling;image synthesis;generative adversarial networks;infinite-pixel synthesis;GANs
Decision: Poster
Title: Knowledge Infused Decoding
Authors: Ruibo Liu, Guoqing Zheng, Shashank Gupta, Radhika Gaonkar, CHONGYANG GAO, Soroush Vosoughi, Milad Shokouhi, Ahmed H Awadallah
Affiliations: Northwestern University; Dartmouth College; Microsoft
Conference: iclr 2022 (main track)
Keywords: natural language;decoding;reinforcement learning;knowledge integration;generation
Decision: Poster
Title: Is Importance Weighting Incompatible with Interpolating Classifiers?
Authors: Ke Wang, Niladri Chatterji, Saminul Haque, Tatsunori Hashimoto
Affiliations: Department of Computer Science, Stanford University
Conference: iclr 2022 (main track)
Keywords: overparameterization;distribution shifts;importance weighting;implicit bias;generalization analysis;interpolation
Decision: Poster
Title: Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Authors: Elahe Arani, Fahad Sarfraz, Bahram Zonooz
Affiliations: Advanced Research Lab, NavInfo Europe, Eindhoven, Netherlands; 
Conference: iclr 2022 (main track)
Keywords: Continual Learning;Catastrophic Forgetting;Complementary Learning Systems Theory;Experience Replay
Decision: Poster
Title: NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
Authors: Yao Shu, shaofeng cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low
Affiliations: Department of Computer Science, National University of Singapore
Conference: iclr 2022 (main track)
Keywords: Neural Architecture Search;Initialization;Label- and Data-agnostic;Transferability;Neural Tangent Kernel
Decision: Poster
Title: Chunked Autoregressive GAN for Conditional Waveform Synthesis
Authors: Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron Courville, Yoshua Bengio
Affiliations: Northwestern University; Mila, Quebec Artificial Intelligence Institute, Universite de Montreal; Descript, Inc.
Conference: iclr 2022 (main track)
Keywords: audio generation;speech synthesis;deep learning;generative models;autoregression;generative adversarial networks
Decision: Poster
Title: Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Authors: Leon Sixt, Martin Schuessler, Oana-Iuliana Popescu, Philipp Weiß, Tim Landgraf
Affiliations: TU Berlin; Freie Universit¨at Berlin
Conference: iclr 2022 (main track)
Keywords: Interpretable ML;User Study;Human Subject Evaluation;Invertible Neural Networks;Convolutional Networks
Decision: Poster
Title: Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
Authors: Paris Giampouras, Benjamin Haeffele, Rene Vidal
Affiliations: Mathematical Institute for Data Science, Johns Hopkins University, Baltimore, MD, USA
Conference: iclr 2022 (main track)
Keywords: representation learning;robust subspace recovery;dual principals component pursuit;outliers;model selection
Decision: Spotlight
Title: Gradient Matching for Domain Generalization
Authors: Yuge Shi, Jeffrey Seely, Philip Torr, Siddharth N, Awni Hannun, Nicolas Usunier, Gabriel Synnaeve
Affiliations: Facebook AI Research; Meta Reality Labs; University of Oxford; The University of Edinburgh & The Alan Turing Institute
Conference: iclr 2022 (main track)
Keywords: Domain generalization;multi-source domain adaptation
Decision: Poster
Title: Actor-critic is implicitly biased towards high entropy optimal policies
Authors: Yuzheng Hu, Ziwei Ji, Matus Telgarsky
Affiliations: University of Illinois, Urbana-Champaign
Conference: iclr 2022 (main track)
Keywords: implicit bias;reinforcement learning;actor-critic;policy gradient;mixing time;convergence rate;mirror ascent.
Decision: Poster
Title: Overcoming The Spectral Bias of Neural Value Approximation
Authors: Ge Yang, Anurag Ajay, Pulkit Agrawal
Affiliations: NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), Computer Science and Artificial Intelligence Laboratory (CSAIL), Improbable AI Lab, Massachusetts Institute Technology
Conference: iclr 2022 (main track)
Keywords: spectral bias;neural value approximation;Q learning;reinforcement learning;neural tangent kernels;kernel regression
Decision: Poster