ICML 2023

1,828 papers

The Benefits of Mixup for Feature Learning

Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu

spred: Solving L1 Penalty with SGD

Liu Ziyin, Zihao Wang

Revisiting Bellman Errors for Offline Model Selection

Joshua P Zitovsky, Daniel De Marchi, Rishabh Agarwal, Michael Rene Kosorok

Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?

Juliusz Krzysztof Ziomek, Haitham Bou Ammar

Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data

Yubo Zhuang, Xiaohui Chen, Yun Yang

Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity

Dixian Zhu, Yiming Ying, Tianbao Yang

Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes

Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu

Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning

Junyi Zhu, Ruicong Yao, Matthew B. Blaschko

Provable Multi-instance Deep AUC Maximization with Stochastic Pooling

Dixian Zhu, Bokun Wang, Zhi Chen, yaxing wang, Milan Sonka

XTab: Cross-table Pretraining for Tabular Transformers

Bingzhao Zhu, Xingjian SHI, Nick Erickson, Mu Li, George Karypis

LeadFL: Client Self-Defense against Model Poisoning in Federated Learning

Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics

Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, Xuanlong Nguyen

Benign Overfitting in Deep Neural Networks under Lazy Training

Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher

Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability

Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu

Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons

Banghua Zhu, Michael Jordan, Jiantao Jiao

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent

Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao

Exploring Model Dynamics for Accumulative Poisoning Discovery

Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, LI He

Mixture Proportion Estimation Beyond Irreducibility

Yilun Zhu, Aaron Fjeldsted, Darren Holland, George Landon, Azaree Lintereur

Markovian Gaussian Process Variational Autoencoders

Harrison Zhu, Carles Balsells-Rodas, Yingzhen Li

Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator

Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong

Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments

Runlong Zhou, Zhang Zihan, Simon Shaolei Du

On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation

Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao

ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation

Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin

Learning to Decouple Complex Systems

Zihan Zhou, Tianshu Yu

A Three-regime Model of Network Pruning

Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks

Cai Zhou, Xiyuan Wang, Muhan Zhang

Phase-aware Adversarial Defense for Improving Adversarial Robustness

Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu

Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes

Runlong Zhou, Ruosong Wang, Simon Shaolei Du

Fast Online Node Labeling for Very Large Graphs

Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh

SlotGAT: Slot-based Message Passing for Heterogeneous Graphs

Ziang Zhou, Jieming SHI, Renchi Yang, Yuanhang Zou, Qing Li

Deep Latent State Space Models for Time-Series Generation

Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon

NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation

Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu

Controlled Text Generation with Natural Language Instructions

Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan

Fourmer: An Efficient Global Modeling Paradigm for Image Restoration

man zhou, Jie Huang, Chun-Le Guo, Chongyi Li

ODS: Test-Time Adaptation in the Presence of Open-World Data Shift

Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yu-feng Li

Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression

Mo Zhou, Rong Ge

Brainformers: Trading Simplicity for Efficiency

Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan

Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration

Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao

Multi-agent Online Scheduling: MMS Allocations for Indivisible Items

Shengwei Zhou, Rufan Bai, Xiaowei Wu

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

YIZHEN ZHENG, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang

Evidential Interactive Learning for Medical Image Captioning

Ervine Zheng, Qi Yu

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li

Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation

Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi

Fast Sampling of Diffusion Models via Operator Learning

Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover

Structure-informed Language Models Are Protein Designers

Zaixiang Zheng, Yifan Deng, Dongyu Xue, Yi Zhou, Fei Ye

Online Learning in Stackelberg Games with an Omniscient Follower

Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael Jordan

Does Continual Learning Equally Forget All Parameters?

Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits

Heyang Zhao, Dongruo Zhou, Jiafan He, Quanquan Gu

RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation

Liming Zhao, Kecheng Zheng, Yun Zheng, Deli Zhao, Jingren Zhou

Simplified Temporal Consistency Reinforcement Learning

Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen

Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning

Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee

Protecting Language Generation Models via Invisible Watermarking

Xuandong Zhao, Yu-Xiang Wang, Lei Li

Transformed Distribution Matching for Missing Value Imputation

He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla

Revisiting Simple Regret: Fast Rates for Returning a Good Arm

Yao Zhao, Connor Stephens, Csaba Szepesvári, Kwang-Sung Jun

X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion

Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen

Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm

Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar

On Pitfalls of Test-Time Adaptation

Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao LIN

Revisiting Structured Variational Autoencoders

Yixiu Zhao, Scott Linderman

Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch

Xunyi Zhao, Théotime Le Hellard, Lionel Eyraud-Dubois, Julia Gusak, Olivier Beaumont

Men Also Do Laundry: Multi-Attribute Bias Amplification

Dora Zhao, Jerone Andrews, Alice Xiang

Patch-level Contrastive Learning via Positional Query for Visual Pre-training

Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan

Robust Situational Reinforcement Learning in Face of Context Disturbances

Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song

Towards a Persistence Diagram that is Robust to Noise and Varied Densities

Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu

Unlocking Slot Attention by Changing Optimal Transport Costs

Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs

Junkai Zhang, Weitong ZHANG, Quanquan Gu

OpenFE: Automated Feature Generation with Expert-level Performance

Tianping Zhang, Zheyu Aqa Zhang, Zhiyuan Fan, Haoyan Luo, Fengyuan Liu

Nearly-tight Bounds for Deep Kernel Learning

Yifan Zhang, Min-ling Zhang

DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference

Wanrong Zhang, Ruqi Zhang

Coder Reviewer Reranking for Code Generation

Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-tau Yih

Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection

XiaoHui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Chu Yuan Zhang

Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests

Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen

ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval

Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li

Provable Dynamic Fusion for Low-Quality Multimodal Data

Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks

He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue

Towards Trustworthy Explanation: On Causal Rationalization

Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai

ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction

Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel

On the Generalization of Multi-modal Contrastive Learning

Qi Zhang, Yifei Wang, Yisen Wang

AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation

Yifan Zhang, xue wang, Kexin Jin, Kun Yuan, Zhang Zhang

On the Convergence of SARSA with Linear Function Approximation

Shangtong Zhang, Remi Tachet des Combes, Romain Laroche

A Category-theoretical Meta-analysis of Definitions of Disentanglement

Yivan Zhang, Masashi Sugiyama

Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation

Fengxue Zhang, Jialin Song, James C Bowden, Alexander Ladd, Yisong Yue

"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts

Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi

Optimal Shrinkage for Distributed Second-Order Optimization

Fangzhao Zhang, Mert Pilanci

Interactive Object Placement with Reinforcement Learning

Shengping Zhang, Quanling Meng, Qinglin Liu, Liqiang Nie, Bineng Zhong

Towards Unbiased Training in Federated Open-world Semi-supervised Learning

Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu

Bi-directional Masks for Efficient N:M Sparse Training

Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie

On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network

Shijun Zhang, Jianfeng Lu, Hongkai Zhao

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score

Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li

The Wisdom of Hindsight Makes Language Models Better Instruction Followers

Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez

No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation

Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou

Learning Subpocket Prototypes for Generalizable Structure-based Drug Design

ZAIXI ZHANG, Qi Liu

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction

Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen

On the Optimality of Misspecified Kernel Ridge Regression

Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin

FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization

Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong

Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling

Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda Ruth Petzold

Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions

Chenyi Zhang, Tongyang Li

One-Step Estimator for Permuted Sparse Recovery

Hang Zhang, Ping Li