hunoutl/paperlists huggingface dataset:
Title: Breaking Correlation Shift via Conditional Invariant Regularizer
Authors: Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
Affiliations: University of Chinese Academy of Sciences; Huawei Noah’s Ark Lab; Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Conference: iclr 2023 (main track)
Keywords: OOD Generalization;Spurious Correlation;Optimization
Decision: Poster
Title: Localized Randomized Smoothing for Collective Robustness Certification
Authors: Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann
Affiliations: CISPA Helmholtz Center for Information Security; Technical University of Munich
Conference: iclr 2023 (main track)
Keywords: Robustness;Certification;Verification;Trustworthiness;Graph neural networks
Decision: Top-25%
Title: Sequential Gradient Coding For Straggler Mitigation
Authors: Nikhil Krishnan Muralee Krishnan, MohammadReza Ebrahimi, Ashish Khisti
Affiliations: Indian Institute of Technology Palakkad; University of Toronto
Conference: iclr 2023 (main track)
Keywords: gradient coding;straggler mitigation;distributed computation;coded computing
Decision: Poster
Title: Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
Authors: Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs
Affiliations: Google Research, Brain Team; University of North Carolina at Chapel Hill; Adobe Research
Conference: iclr 2023 (main track)
Keywords: Generalizable human radiance fields;Human performance capture;Human NeRF;Neural radiance fields
Decision: Poster
Title: On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning
Authors: Sicong Liu, Xi Zhang, Yushuo Li, Yifan Zhang, Jian Cheng
Affiliations: NJUST, Institute of Automation, Chinese Academy of Sciences, AIRIA; Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Nanjing; Institute of Automation, Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences, School of Future Technology, University of Chinese Academy of Sciences, Nanjing
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Data Augmentation;Self-Supervised Learning;Representation Learning
Decision: Poster
Title: Temporal Coherent Test Time Optimization for Robust Video Classification
Authors: Chenyu Yi, SIYUAN YANG, Yufei Wang, Haoliang Li, Yap-peng Tan, Alex Kot
Affiliations: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; Department of Electrical Engineering, City University of Hong Kong, China; Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore
Conference: iclr 2023 (main track)
Keywords: Video Classification;Robustness;Test Time Optimization
Decision: Poster
Title: Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
Authors: Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
Affiliations: Microsoft 365; Southeast University; Peking University; Microsoft Azure; Microsoft Research
Conference: iclr 2023 (main track)
Keywords: Active Anomaly Discovery;Diversity Sampling;Deep Learning
Decision: Poster
Title: Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
Authors: Rui Yuan, Simon Du, Robert M. Gower, Alessandro Lazaric, Lin Xiao
Affiliations: University of Washington; FAIR, Meta AI; CCM, Flatiron Institute
Conference: iclr 2023 (main track)
Keywords: Discounted Markov decision process;natural policy gradient;policy mirror descent;log-linear policy;sample complexity
Decision: Poster
Title: The hidden uniform cluster prior in self-supervised learning
Authors: Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael Rabbat, Nicolas Ballas
Affiliations: Meta AI (FAIR), Mila, Quebec AI Institute; Meta AI (FAIR), Mila, Quebec AI Institute, Universite de Montreal, DIRO; Meta AI (FAIR), McGill University, ECE, Mila, Quebec AI Institute, Universite de Montreal, DIRO; Meta AI (FAIR)
Conference: iclr 2023 (main track)
Keywords: self-supervised learning;unsupervised learning;representation learning;transfer learning
Decision: Poster
Title: DiffMimic: Efficient Motion Mimicking with Differentiable Physics
Authors: Jiawei Ren, Cunjun Yu, Siwei Chen, Xiao Ma, Liang Pan, Ziwei Liu
Affiliations: School of Computing, National University of Singapore; SEA AI Lab; S-Lab, Nanyang Technological University
Conference: iclr 2023 (main track)
Keywords: Physics-based Animation
Decision: Poster
Title: Delving into Semantic Scale Imbalance
Authors: Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu
Affiliations: Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, 710071, China
Conference: iclr 2023 (main track)
Keywords: Imbalanced Learning;Model bias;Long-tailed distribution
Decision: Poster
Title: Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
Authors: Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
Conference: iclr 2023 (main track)
Keywords: task-oriented dialogue;reinforcement learning;reward learning
Decision: Poster
Title: Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives
Authors: Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu
Affiliations: Pennsylvania State University, State College, PA, USA; Microsoft Research, Redmond, Washington, USA
Conference: iclr 2023 (main track)
Keywords: Automatic Machine learning;Hyperparameter tuning;Lexicographic preference
Decision: Top-5%
Title: Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
Authors: Kaiqi Zhang, Yu-Xiang Wang
Affiliations: Department of Computer Science, University of California, Santa Barbara; Department of Electrical and Computer Engineering, University of California, Santa Barbara
Conference: iclr 2023 (main track)
Keywords: Neural network;nonparametric regression;minimax optimal
Decision: Poster
Title: Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens
Authors: Sen Yang, Wen Heng, Gang Liu, GUOZHONG LUO, Wankou Yang, Gang Yu
Affiliations: Tencent PCG; School of Automation, Southeast University, China; Key Lab of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China
Conference: iclr 2023 (main track)
Keywords: 3D human pose and shape estimation;3d human reconstruction;transformer;independent tokens;temporal modeling;joint rotational motion
Decision: Top-25%
Title: Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
Authors: Zheng Yu, Yikuan Li, Joseph Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
Affiliations: Princeton University; Northwestern University
Conference: iclr 2023 (main track)
Keywords: medical diagnostics;Pareto front;reinforcement learning;non-Markovian reward;semi-model-based policy optimization
Decision: Poster
Title: MeshDiffusion: Score-based Generative 3D Mesh Modeling
Authors: Zhen Liu, Yao Feng, Michael J Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
Affiliations: Mila, Université de Montréal; University of Cambridge; McGill University; Max Planck Institute for Intelligent Systems - Tübingen
Conference: iclr 2023 (main track)
Keywords: generative model;diffusion model;3D mesh;shape generation
Decision: Top-25%
Title: HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
Authors: Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang
Affiliations: ByteDance Inc.; Rutgers University; Rutgers University, ByteDance Inc.
Conference: iclr 2023 (main track)
Decision: Poster
Title: Improving Out-of-distribution Generalization with Indirection Representations
Authors: Kha Pham 1, Hung Le 1, Man Ngo 2, Truyen Tran 1 , , 1 Applied Artificial Intelligence Institute, Deakin University , 2 Faculty of Mathematics and Computer Science, VNUHCM-University of Science , 1{phti, thai.le, truyen.tran}@deakin.edu.au,  , 2 nmman@hcmus.edu.vn, , 
Affiliations: Faculty of Mathematics and Computer Science, VNUHCM-University of Science; Applied Artiﬁcial Intelligence Institute, Deakin University
Conference: iclr 2023 (main track)
Keywords: out-of-distribution generalization;indirection;representation
Decision: Poster
Title: What learning algorithm is in-context learning? Investigations with linear models
Authors: Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou
Affiliations: Stanford University; MIT CSAIL; Google Research
Conference: iclr 2023 (main track)
Keywords: in-context learning;transformers;sequence models;deep learning;meta learning
Decision: Top-5%
Title: A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
Authors: Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony So, Jose Blanchet
Conference: iclr 2023 (main track)
Keywords: Gromov-Wasserstein;Graph Learning;Optimization
Decision: Poster
Title: ISAAC Newton: Input-based Approximate Curvature for Newton's Method
Authors: Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
Affiliations: University of Konstanz; University of Michigan; University of Salzburg; MIT-IBM Watson AI Lab; Stanford University; University of Frankfurt
Conference: iclr 2023 (main track)
Decision: Poster
Title: Calibrating Sequence likelihood Improves Conditional Language Generation
Authors: Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter Liu
Affiliations: Google Research, Brain Team
Conference: iclr 2023 (main track)
Keywords: Natural Language Processing;conditional language models;sequence-to-sequence;text generation
Decision: Poster
Title: Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
Authors: Rundong Luo, Yifei Wang, Yisen Wang
Affiliations: National Key Lab. of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University; School of EECS, Peking University; School of Mathematical Sciences, Peking University
Conference: iclr 2023 (main track)
Keywords: adversarial training;contrastive learning;adversarial contrastive learning
Decision: Poster
Title: Predictive Inference with Feature Conformal Prediction
Authors: Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan
Affiliations: Mila - Quebec AI Institute; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: conformal prediction;uncertainty
Decision: Poster
Title: DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
Authors: Tiange Xiang, Mahmut Yurt, Ali Syed, Kawin Setsompop, Akshay Chaudhari
Affiliations: Stanford University
Conference: iclr 2023 (main track)
Keywords: Unsupervised MRI Denoising;Diffusion Models
Decision: Poster
Title: Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
Authors: Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan
Affiliations: School of Computer Science, Wuhan University, Wuhan 430000, China; Department of Computer Science, Illinois Institute of Technology, Chicago, IL 60616, USA; Snap Inc., Santa Monica, CA 90405, USA
Conference: iclr 2023 (main track)
Keywords: Contrastive Diffusion;Conditioned Generations;Music Generation;Image Synthesis
Decision: Poster
Title: Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
Authors: Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
Affiliations: 2Shanghai AI Laboratory; 1MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; 3SenseTime Group Limited
Conference: iclr 2023 (main track)
Keywords: self supervised learning;contrastive learning
Decision: Poster
Title: A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search
Authors: Brandon Trabucco, Gunnar Sigurdsson, Robinson Piramuthu, Gaurav Sukhatme, Ruslan Salakhutdinov
Affiliations: Amazon Alexa AI; University of Southern California and Amazon Alexa AI; Carnegie Mellon University
Conference: iclr 2023 (main track)
Keywords: Embodied AI;Deep Learning;Object Rearrangement
Decision: Poster
Title: STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK
Authors: Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, zhiheng huang, William Wang, George Karypis, Bing Xiang, Dan Roth
Affiliations: AWS AI Labs; AWS AI Labs, Northwestern University
Conference: iclr 2023 (main track)
Keywords: natural language understanding;question answering;structured explanations;soft reasoning;dataset
Decision: Top-25%
Title: DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
Authors: Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
Conference: iclr 2023 (main track)
Keywords: deformable object manipulation;differentiable physics;benchmark
Decision: Top-5%
Title: Self-Consistency Improves Chain of Thought Reasoning in Language Models
Authors: Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V Le, Ed H. Chi, SHARAN NARANG, Aakanksha Chowdhery, Denny Zhou
Affiliations: Google Research, Brain Team
Conference: iclr 2023 (main track)
Keywords: Language models;natural language processing;reasoning
Decision: Poster
Title: ChiroDiff: Modelling chirographic data with Diffusion Models
Authors: Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song
Affiliations: University of Edinburgh; Samsung AI Centre, Cambridge; SketchX, CVSSP, University of Surrey; iFlyTek-Surrey Joint Research Centre on AI; Queen Mary University of London
Conference: iclr 2023 (main track)
Keywords: chirographic data;continuous-time;diffusion model;generative model
Decision: Poster
Title: Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
Authors: Martin Bjerke, Lukas Schott, Kristopher Jensen, Claudia Battistin, David Klindt, Benjamin Dunn
Affiliations: Bosch Center for Artificial Intelligence; Norwegian University of Science and Technology; University of Cambridge
Conference: iclr 2023 (main track)
Keywords: neuroscience;neural activity;tuning curves;neural ensemble detection;grid cells;latent variable models
Decision: Poster
Title: RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
Authors: Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi
Affiliations: Georgia Institute of Technology; Apple
Conference: iclr 2023 (main track)
Keywords: Robust GAN-inversion;Mask-free Semantic Inpainting;Unsupervised Pixel-wise Anomaly Detection
Decision: Poster
Title: Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
Authors: Andrii Zadaianchuk, Matthäus Kleindessner, Yi Zhu, Francesco Locatello, Thomas Brox
Affiliations: Amazon Web Services; Max-Planck Institute for Intelligent Systems, Tübingen, Germany; Department of Computer Science, ETH Zürich; Amazon Web Services; University of Freiburg
Conference: iclr 2023 (main track)
Keywords: unsupervised semantic segmentation;object segmentation;object-centric learning
Decision: Top-25%
Title: Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms
Authors: Xiaotong Yuan, Ping Li
Affiliations: LinkedIn Ads, 700 Bellevue Way NE, Bellevue, WA 98004, USA; School of Intelligence Science and Technology, Nanjing University, Suzhou, 215163, China
Conference: iclr 2023 (main track)
Keywords: $L_q$-stability;Uniform stability;Moments inequality;Exponential generalization bound;Excess risk;Sparsity
Decision: Poster
Title: Masked Image Modeling with Denoising Contrast
Authors: Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie
Affiliations: Tencent PCG; ARC Lab, Tencent PCG; ARC Lab, Tencent PCG, Huazhong University of Science and Technology; Tsinghua University; Foundation Technology Center, Tencent PCG; ARC Lab, Tencent PCG, Peking University
Conference: iclr 2023 (main track)
Keywords: masked image modeling;self-supervised learning;image pre-training
Decision: Poster
Title: Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Authors: Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Affiliations: Snap Inc.; Brandeis University; University of Notre Dame
Conference: iclr 2023 (main track)
Keywords: Graph Neural Network;Self-supervised Learning
Decision: Poster
Title: Constraining Representations Yields Models That Know What They Don't Know
Authors: Joao Monteiro, Pau Rodriguez Lopez, Pierre-André Noël, Issam Laradji, David Vazquez
Affiliations: ServiceNow Research; Currently at Apple
Conference: iclr 2023 (main track)
Keywords: Rejecting classifiers;Selective classification;Uncertainty estimation;Robust classification;Out-of-distribution detection
Decision: Poster
Title: Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
Authors: Xueyi Liu, Ji Zhang, Ruizhen Hu, Haibin Huang, He Wang, Li Yi
Affiliations: Shenzhen University; Fudan University; Kuaishou Technology; Peking University; Tsinghua University; Shanghai Artificial Intelligence Laboratory
Conference: iclr 2023 (main track)
Decision: Poster
Title: Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
Authors: Eric Qu, Xufang Luo, Dongsheng Li
Affiliations: Duke Kunshan University, Kunshan, Jiangsu 215316, China; Microsoft Research Asia, Shanghai 200232, China
Conference: iclr 2023 (main track)
Keywords: deep learning;data continuity;sequence modeling
Decision: Top-25%
Title: The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
Authors: Huancheng Chen, Chaining Wang, Haris Vikalo
Affiliations: The University of Texas at Austin, TX; Toyota Motor North America, CA
Conference: iclr 2023 (main track)
Keywords: Federated Learning;Representation Learning;Knowledge Distillation
Decision: Poster
Title: Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
Authors: Lirui Wang, Kaiqing Zhang, Yunzhu Li, Yonglong Tian, Russ Tedrake
Affiliations: MIT CSAIL
Conference: iclr 2023 (main track)
Keywords: Decentralized Learning;Heterogeneous and Unlabeled Data;Federated Learning;Self-Supervised Learning;Representation Learning
Decision: Poster
Title: MocoSFL: enabling cross-client collaborative self-supervised learning
Authors: Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger
Affiliations: Sony AI; Arizona State University
Conference: iclr 2023 (main track)
Keywords: Self-supervised Learning;Collaborative Learning;Split Federated Learning;Momentum Contrast
Decision: Top-5%
Title: Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
Authors: Amrith Setlur, Don Kurian Dennis, Benjamin Eysenbach, Aditi Raghunathan, Chelsea Finn, Virginia Smith, Sergey Levine
Affiliations: Stanford University; Carnegie Mellon University; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: Robustness;Distribution shift;Group Shift
Decision: Poster
Title: Exploring Active 3D Object Detection from a Generalization Perspective
Authors: Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh
Affiliations: The University of Queensland, Australia
Conference: iclr 2023 (main track)
Keywords: Active Learning;3D Object Detection;Lidar Point Clouds
Decision: Top-25%
Title: Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
Authors: Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma
Affiliations: Tsinghua University, Beijing, China
Conference: iclr 2023 (main track)
Keywords: synaptic plasticity;meta-learning;Hebbian learning;few-shot learning;recurrent neural networks
Decision: Poster
Title: ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency
Authors: Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang
Affiliations: Huawei Noah’s Ark Lab; University of Oxford; ReLER, AAII, University of Technology Sydney; University of Technology Sydney; Sun Yat-sen University, MBZUAI; Sun Yat-sen University
Conference: iclr 2023 (main track)
Keywords: Zero-shot semantic segmentation;Vision-Language Pretraining;Visual Self-Supervision;Consistent Semantics
Decision: Poster
Title: Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes
Authors: Christian Haase, Christoph Hertrich, Georg Loho
Affiliations: University of Twente, Netherlands; Freie Universit ¨at Berlin, Germany; London School of Economics and Political Science, UK
Conference: iclr 2023 (main track)
Keywords: Rectified Linear Unit;Neural Network Expressivity;Neural Network Depth;Lattice Polytope;Normalized Volume
Decision: Poster
Title: KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
Authors: Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang
Affiliations: Peking University, Beijing, China; Microsoft Corporation, Beijing, China; Macquarie University, Sydney, Australia
Conference: iclr 2023 (main track)
Keywords: Data Augmentation;Low-Resource NLP
Decision: Poster
Title: ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
Authors: Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan
Affiliations: Huawei Noah’s Ark Lab; MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: Combinatorial Optimization;Robustness;Graph Neural Networks;Reinforcement Learning
Decision: Poster
Title: ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
Authors: Stephen McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Strategy Robot, Inc., Optimized Markets, Inc., Strategic Machine, Inc.; DeepMind
Conference: iclr 2023 (main track)
Keywords: game theory;two-player zero-sum;CFR;Reinforcement learning
Decision: Poster
Title: Federated Neural Bandits
Authors: Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: Department of Computer Science, National University of Singapore; Department of Electrical Engineering and Computer Science, MIT
Conference: iclr 2023 (main track)
Keywords: neural contextual bandits;federated bandits
Decision: Poster
Title: Don’t forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure
Authors: Daksh Idnani, Vivek Madan, Naman Goyal, David J Schwab, Shanmukha Ramakrishna Vedantam
Affiliations: Meta (FAIR); Meta (CTRL); Amazon
Conference: iclr 2023 (main track)
Decision: Poster
Title: HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer
Authors: Xiaosong Zhang, Yunjie Tian, Lingxi Xie, Wei Huang, Qi Dai, Qixiang Ye, Qi Tian
Affiliations: UCAS; Peng Cheng Lab; Huawei Inc.
Conference: iclr 2023 (main track)
Keywords: Hierarchical vision transformers;self-supervised learning;masked image modeling
Decision: Top-25%
Title: Distributionally Robust Post-hoc Classifiers under Prior Shifts
Authors: Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar
Affiliations: UC Santa Cruz; Google Research
Conference: iclr 2023 (main track)
Keywords: Distributional robustness;post-hoc scaling;group robustness;class imbalance;spurious correlations
Decision: Poster