hunoutl/paperlists huggingface dataset:
Title: AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
Authors: Yi-Fan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang , Liang Wang , Rong Jin , Tieniu Tan 
Affiliations: School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS); MAIS, CRIPAC, CASIA; Nanjing University; Work done at Alibaba Group, and now affiliated with Meta; Center for Machine Learning Research, Peking University; AI for Science Institute, Beijing; Department of Mathematics at Princeton University; School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS); MAIS, CRIPAC, CASIA; Machine Intelligence Technology, Alibaba Group; School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS); MAIS, CRIPAC, CASIA; Work done during an internship at Alibaba Group
Conference: icml 2023 (main track)
Decision: Poster
Title: A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
Authors: Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang
Affiliations: School of EECS, Peking University; Pazhou Lab; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Center for Data Science, Peking University
Conference: icml 2023 (main track)
Decision: Poster
Title: Quantum Policy Gradient Algorithm with Optimized Action Decoding
Authors: Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
Affiliations: Department of Physics, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany; Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Nuremberg, Germany; Department of Physics, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany; Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Nuremberg, Germany
Conference: icml 2023 (main track)
Decision: Poster
Title: Jump-Start Reinforcement Learning
Authors: Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman
Affiliations: Everyday Robots, Mountain View, California, United States; iuchendu1@gmail.com; Google, Mountain View, California; University of California, Berkeley, Berkeley, California; Department of Statistics, University of Chicago
Conference: icml 2023 (main track)
Decision: Poster
Title: Provable Dynamic Fusion for Low-Quality Multimodal Data
Authors: Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
Affiliations: Tianjin Key Lab of Machine Learning, Tianjin University, Tianjin, China; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore; College of Computer Science, Sichuan University, Chengdu, China; College of Intelligence and Computing, Tianjin University, Tianjin, China; College of Intelligence and Computing, Tianjin University, Tianjin, China; Tianjin Key Lab of Machine Learning, Tianjin University, Tianjin, China; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore; Centre for Frontier AI Research (CFAR), Agency for Science, Technology and Research (A*STAR), Singapore
Conference: icml 2023 (main track)
Decision: Poster
Title: Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network
Authors: Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang
Affiliations: AR Perception, Google, Los Angeles, USA; Department of Computer Science, UCLA, Los Angeles, USA; Department of Mathematics, UCLA, Los Angeles, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization
Authors: Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal
Affiliations: Amazon.com; School of IE and School of ECE, Purdue University, West Lafayette, IN, U.S.A; Department of Statistics, Purdue University, West Lafayette, IN, U.S.A
Conference: icml 2023 (main track)
Decision: Poster
Title: Adaptive Computation with Elastic Input Sequence
Authors: Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You
Affiliations: Google Brain‡; National University of Singapore; Google Brain†, National University of Singapore‡; Google Brain
Conference: icml 2023 (main track)
Decision: Poster
Title: BiBench: Benchmarking and Analyzing Network Binarization
Authors: Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu66
Affiliations: Nanyang Technological University; ETH Zurich; Beihang University
Conference: icml 2023 (main track)
Decision: Poster
Title: A Fast Optimistic Method for Monotone Variational Inequalities
Authors: Michael Sedlmayer, Dang-Khoa Nguyen, Radu Ioan Bot
Affiliations: Research Network Data Science, University of Vienna, Vienna, Austria; Faculty of Mathematics, University of Vienna, Vienna, Austria; Research Network Data Science, University of Vienna, Vienna, Austria; Faculty of Mathematics, University of Vienna, Vienna, Austria
Conference: icml 2023 (main track)
Decision: Poster
Title: Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time
Authors: Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Affiliations: Department of Mathematics and Computer Science, TU Eindhoven, the Netherlands; Department of Computer Science, University of Maryland, MD, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: Delay-agnostic Asynchronous Coordinate Update Algorithm
Authors: Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
Affiliations: Division of Decision and Control Systems, EECS, KTH Royal Institute of Technology, Stockholm, Sweden; Department of Computer and System Science, Stockholm University, Stockholm, Sweden
Conference: icml 2023 (main track)
Decision: Poster
Title: Scaling Laws for Generative Mixed-Modal Language Models
Authors: Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer
Affiliations: University of Washington; FAIR; YerevaNN
Conference: icml 2023 (main track)
Decision: Poster
Title: A General Representation Learning Framework with Generalization Performance Guarantees
Authors: Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang
Affiliations: Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan 030006, Shanxi, China
Conference: icml 2023 (main track)
Decision: Poster
Title: Self-supervised learning of Split Invariant Equivariant representations
Authors: Quentin Garrido, Laurent Najman, Yann LeCun
Affiliations: Univ Gustave Eiffel, CNRS, LIGM, F-77454 Marne-la-Vallée, France; Courant Institute, New York University; Center for Data Science, New York University; Meta AI - FAIR
Conference: icml 2023 (main track)
Decision: Poster
Title: Bigger, Better, Faster: Human-level Atari with human-level efficiency
Authors: Max Schwarzer, Johan Obando-Ceron, Aaron Courville, Marc G. Bellemare, Rishabh Agarwal, Pablo Samuel Castro
Affiliations: Mila, Université de Montréal; Google DeepMind; Google DeepMind, Mila, Université de Montréal
Conference: icml 2023 (main track)
Decision: Poster
Title: Alternately Optimized Graph Neural Networks
Authors: Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
Affiliations: Department of Computer Science, North Carolina State University, Raleigh, US; Amazon, US (this work does not relate to the author’s position at Amazon); Department of Computer Science and Engineering, Michigan State University, East Lansing, US; TigerGraph, US
Conference: icml 2023 (main track)
Decision: Poster
Title: DUET: 2D Structured and Approximately Equivariant Representations
Authors: Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
Affiliations: Apple; Apple, University of Amsterdam
Conference: icml 2023 (main track)
Decision: Poster
Title: Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
Authors: Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed
Affiliations: Center for Data Science, New York University, NY, USA; Courant Institute of Mathematical Sciences, New York University, NY, USA; CEREMADE, Université Paris Dauphine-PSL, Paris, France
Conference: icml 2023 (main track)
Decision: Poster
Title: GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
Authors: Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon
Affiliations: The University of Luxembourg; RIKEN Center for Advanced Intelligence Project (AIP); The University of Tokyo
Conference: icml 2023 (main track)
Decision: Poster
Title: Personalized Federated Learning with Inferred Collaboration Graphs
Authors: Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang
Affiliations: Microsoft Research Asia, Beijing, China; Shanghai AI Laboratory, Shanghai, China; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China
Conference: icml 2023 (main track)
Decision: Poster
Title: BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
Authors: Kishaan Jeeveswaran, Prashant Bhat, Bahram Zonooz, Elahe Arani
Affiliations: Advanced Research Lab, NavInfo Europe, Netherlands; Dep. of Mathematics and Computer Science, Eindhoven University of Technology, Netherlands
Conference: icml 2023 (main track)
Decision: Poster
Title: 2D-Shapley: A Framework for Fragmented Data Valuation
Authors: Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia
Affiliations: Department of Technology, Operations, and Statistics, Stern School of Business, New York University, New York, 10012, USA; Bradley Department of Electrical and Computer Engineering, Virginia Tech, Virginia, USA; Center for Intelligent Decision-Making and Machine Learning, Department of Information Systems and Intelligent Business, School of Management, Xi'an Jiaotong University, Xi'an, 710049, China
Conference: icml 2023 (main track)
Decision: Poster
Title: Learning to Design Analog Circuits to Meet Threshold Specifications
Authors: Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox
Affiliations: University of California, Irvine
Conference: icml 2023 (main track)
Decision: Poster
Title: AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Authors: Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo
Affiliations: Department of Computer Science, The University of Hong Kong, Hong Kong SAR; University of California, Berkeley, USA; Department of Computer Science, The University of Hong Kong, Hong Kong SAR; Department of Computer Science, The University of Hong Kong, Hong Kong SAR; Shanghai AI Laboratory, Shanghai, China; College of Intelligence and Computing, Tianjin University, Tianjin, China; University of California, Berkeley, USA
Conference: icml 2023 (main track)
Decision: Oral
Title: Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Authors: Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert Nowak, Yixuan Li
Affiliations: Department of Electrical and Computer Engineering, University of Wisconsin, Madison; Institute for Foundations of Data Science, University of Wisconsin, Madison; Department of Computer Sciences, University of Wisconsin, Madison
Conference: icml 2023 (main track)
Decision: Poster
Title: Exphormer: Sparse Transformers for Graphs
Authors: Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam, Danica J. Sutherland, Ali Kemal Sinop
Affiliations: Google Research, Mountain View, California, USA; Department of Computer Science, University of British Columbia, Vancouver, BC, Canada; Alberta Machine Intelligence Institute, Edmonton, Alberta, Canada; Google, Mountain View, California, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: An SDE for Modeling SAM: Theory and Insights
Authors: Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurelien Lucchi
Affiliations: Department of Mathematics, University of Oslo, Oslo, Norway; Inria, Ecole Normale Superieure PSL Research University, Paris, France; Department of Computer Science, ETH Zurich, Zurich, Switzerland; Department of Mathematics & Computer Science, University of Basel, Basel, Switzerland
Conference: icml 2023 (main track)
Decision: Poster
Title: A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints
Authors: Ming Shi, Yingbin Liang, Ness Shroff
Affiliations: AI-EDGE Institute and Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA; AI-EDGE Institute and Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA; Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: Rethinking Weak Supervision in Helping Contrastive Learning
Authors: Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang
Affiliations: Huawei Noah’s Ark Lab; School of Mathematical Sciences, Peking University; Qing Yuan Research Institute, Shanghai Jiao Tong University; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University
Conference: icml 2023 (main track)
Decision: Poster
Title: Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
Authors: Parth Sangani, Arjun Kashettiwar, Pritish Chakraborty, Bhuvan Reddy, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh Iyer, Abir De
Affiliations: Department of Computer Science and Engineering, UT Dallas; Department of Computer Science and Engineering, IIT Bombay
Conference: icml 2023 (main track)
Decision: Poster
Title: A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel
Authors: Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland
Affiliations: Computer Science Department, University of British Columbia, Vancouver, Canada; Computer Science Department, University of British Columbia, Vancouver, Canada; Alberta Machine Intelligence Institute, Edmonton, Canada
Conference: icml 2023 (main track)
Decision: Poster
Title: Understanding the Impact of Adversarial Robustness on Accuracy Disparity
Authors: Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao
Affiliations: David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada; Department of Computer Science, University of Illinois at Urbana Champaign, Urbana, IL, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations
Authors: Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
Affiliations: University of Hong Kong; Brandeis University; Hunan University; University of Notre Dame
Conference: icml 2023 (main track)
Decision: Poster
Title: Prototype-oriented unsupervised anomaly detection for multivariate time series
Authors: Yuxin Li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou
Affiliations: McCombs School of Business, The University of Texas at Austin, Austin, TX 78712, USA; National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, 710071, China; Software Engineering Institute, Xidian University, Xi'an, 710071, China
Conference: icml 2023 (main track)
Decision: Poster
Title: Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains
Authors: Vishwaraj Doshi, Jie Hu, Do Young Eun
Affiliations: IQVIA Inc., Plymouth Meeting, USA; Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA
Conference: icml 2023 (main track)
Decision: Oral
Title: Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
Authors: Liam Hodgkinson, Chris van der Heide, Fred Roosta, Michael Mahoney
Affiliations: School of Mathematics and Statistics, University of Melbourne, Australia; School of Mathematics and Physics, University of Queensland, Australia; International Computer Science Institute, Lawrence Berkeley National Laboratory, Department of Statistics, University of California at Berkeley; Department of Electrical and Electronic Engineering, University of Melbourne, Australia
Conference: icml 2023 (main track)
Decision: Poster
Title: Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
Authors: Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael I. Jordan
Affiliations: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley; Department of Statistics, University of California, Berkeley; DIRO, Université de Montréal and Mila; Department of Computer Sciences, University of California, Los Angeles
Conference: icml 2023 (main track)
Decision: Poster
Title: Learning Belief Representations for Partially Observable Deep RL
Authors: Andrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
Affiliations: Department of Computer Science, University of Toronto; Vector Institute; Schwartz Reisman Institute for Technology and Society; Pontificia Universidad Católica de Chile; Centro Nacional de Inteligencia Artificial
Conference: icml 2023 (main track)
Decision: Poster
Title: Explainable Data-Driven Optimization: From Context to Decision and Back Again
Authors: Alexandre Forel, Axel Parmentier, Thibaut Vidal
Affiliations: CIRRELT & SCALE-AI Chair in Data-Driven Supply Chains, Department of Mathematical and Industrial Engineering, Polytechnique Montreal, Montreal, Canada; CERMICS, École des Ponts, Marne-la-Vallée, France
Conference: icml 2023 (main track)
Decision: Poster
Title: Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
Authors: Xuchen You , Shouvanik Chakrabarti, Boyang Chen, Xiaodi Wu
Affiliations: Global Technology Applied Research, J. P. Morgan Chase & Co.; Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China; Department of Computer Science, University of Maryland, College Park, United States
Conference: icml 2023 (main track)
Decision: Poster
Title: Subequivariant Graph Reinforcement Learning in 3D Environments
Authors: Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China; Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, Tsinghua University
Conference: icml 2023 (main track)
Decision: Oral
Title: Learning Globally Smooth Functions on Manifolds
Authors: Juan Cerviño, Luiz F.O. Chamon, Benjamin D. Haeffele, Rene Vidal, Alejandro Ribeiro
Affiliations: Mathematical Institute for Data Science, Johns Hopkins University, Baltimore, USA; Excellence Cluster for Simulation Technology, University of Stuttgart, Germany; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: Deep Graph Representation Learning and Optimization for Influence Maximization
Authors: Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao
Affiliations: University of Florida, Gainesville, FL; NEC Labs America, Princeton, NJ; Fudan University, Shanghai, CHINA; Dakota State University, Madison, SD; Emory University, Atlanta, GA
Conference: icml 2023 (main track)
Decision: Poster
Title: DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
Authors: Adel Nabli, Edouard Oyallon
Affiliations: Sorbonne Université, CNRS, ISIR, Paris, France; Sorbonne Université, CNRS, ISIR, Paris, France; Mila, Concordia University, Montréal, Canada
Conference: icml 2023 (main track)
Decision: Poster
Title: Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
Authors: Kwangho Kim, José R. Zubizarreta
Affiliations: 1Department of Statistics, Korea University, Seoul, South Korea; 2Department of Health Care Policy, Harvard Medical School, MA, USA; 2Department of Health Care Policy, Harvard Medical School, MA, USA; 3Departments of Biostatistics and Statistics, Harvard University, MA, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
Authors: Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
Affiliations: Department of Computer Science, Stanford University, Stanford, CA, USA; Sony Group Corporation, Tokyo, Japan; Sony AI, Tokyo, Japan
Conference: icml 2023 (main track)
Decision: Oral
Title: Quantile Credit Assignment
Authors: Thomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Remi Munos
Affiliations: Harvard University; Ecole polytechnique; DeepMind
Conference: icml 2023 (main track)
Decision: Oral
Title: Understanding Oversquashing in GNNs through the Lens of Effective Resistance
Authors: Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang
Affiliations: School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon, USA; Halıcıoğlu Data Science Institute, University of California San Diego, San Diego, California, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: Hierarchical Diffusion for Offline Decision Making
Authors: Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha
Affiliations: School of Software Engineering, Tongji University, Shanghai, China; Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, China; School of Computer Science and Technology, East China Normal University, Shanghai, China; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
Conference: icml 2023 (main track)
Decision: Poster
Title: Generative Decoding of Visual Stimuli
Authors: Eleni Miliotou, Panagiotis Kyriakis, Jason D Hinman, Andrei Irimia, Paul Bogdan
Affiliations: Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, US; Department of Gerontology, University of Southern California, Los Angeles; Department of Neurology, University of California Los Angeles, Los Angeles, US
Conference: icml 2023 (main track)
Decision: Poster
Title: Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
Authors: Yijun Dong, Yuege Xie, Rachel Ward
Affiliations: Snap Inc., CA, USA (Work done at University of Texas at Austin); Oden Institute, University of Texas at Austin, TX, USA; Department of Mathematics, University of Texas at Austin, TX, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: Path Neural Networks: Expressive and Accurate Graph Neural Networks
Authors: Gaspard Michel, Giannis Nikolentzos, Johannes Lutzeyer, Michalis Vazirgiannis
Affiliations: LIX, Ecole Polytechnique, IP Paris, France; LIX, Ecole Polytechnique, IP Paris, France; Deezer Research, Paris, France
Conference: icml 2023 (main track)
Decision: Poster
Title: Compositional Score Modeling for Simulation-Based Inference
Authors: Tomas Geffner, George Papamakarios, Andriy Mnih
Affiliations: 3DeepMind. Correspondence to: Tomas Geffner <tgeffner@cs.umass.edu>, Andriy Mnih <andriy@deepmind.com>.; 3DeepMind.; 1Work done during an internship at DeepMind. 2University of Massachusetts, Amherst.
Conference: icml 2023 (main track)
Decision: Poster
Title: Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
Authors: David Venuto, Mengjiao Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum
Affiliations: Mila, McGill University, Google DeepMind; Google DeepMind; University of California, Berkeley; Mila, McGill University
Conference: icml 2023 (main track)
Decision: Poster