ICML 2024

2,610 papers

Active Statistical Inference

Tijana Zrnic, Emmanuel Candes

BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization

Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, Qi Sun

Compositional Few-Shot Class-Incremental Learning

Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li, Ruixuan Li

Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response

Bob Junyi Zou, Matthew E Levine, Dessi P. Zaharieva, Ramesh Johari, Emily Fox

Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing

Xiaolong Zou, Xingxing Cao, Xiaojiao Yang, Bo Hong

Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations

Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, Bingchen Zhao, Timothy Hospedales

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models

Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, Yongxin Yang, Timothy Hospedales

Symmetry Induces Structure and Constraint of Learning

Liu Ziyin

Emergence of In-Context Reinforcement Learning from Noise Distillation

Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov

Viewing Transformers Through the Lens of Long Convolutions Layers

Itamar Zimerman, Lior Wolf

Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption

Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu

Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss

Ingvar Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni

Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration

Zhengyang Zhuge, Peisong Wang, Xingting Yao, Jian Cheng

GPTSwarm: Language Agents as Optimizable Graphs

Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin

COALA: A Practical and Vision-Centric Federated Learning Platform

Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu

Reinformer: Max-Return Sequence Modeling for Offline RL

Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang

Stealthy Imitation: Reward-guided Environment-free Policy Stealing

Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz

Language Models Represent Beliefs of Self and Others

Wentao Zhu, Zhining Zhang, Yizhou Wang

CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection

Lin Zhu, Yifeng Yang, Qinying Gu, Xinbing Wang, Chenghu Zhou

Dynamic Evaluation of Large Language Models by Meta Probing Agents

Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models

Didi Zhu, Zhongyisun Sun, Zexi Li, Tao Shen, Ke Yan

Online Learning in Betting Markets: Profit versus Prediction

Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie

Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints

Tian Zhu, Milong Ren, Haicang Zhang

Toward Availability Attacks in 3D Point Clouds

Yifan Zhu, yibo miao, Yinpeng Dong, Xiao-Shan Gao

Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning

Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan, Mikhail Belkin

Switched Flow Matching: Eliminating Singularities via Switching ODEs

Qunxi Zhu, Wei LIN

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu

Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF

Banghua Zhu, Michael Jordan, Jiantao Jiao

Improving Open-Ended Text Generation via Adaptive Decoding

Wenhong Zhu, Hongkun Hao, Zhiwei He, Yiming Ai, Rui Wang

Asymmetry in Low-Rank Adapters of Foundation Models

Jiacheng Zhu, Kristjan Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson

Generative Active Learning for Long-tailed Instance Segmentation

Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao

Iterative Search Attribution for Deep Neural Networks

Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang

Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters

Yuhang Zhou, Zihua Zhao, Siyuan Du, Haolin Li, Jiangchao Yao

Effective Federated Graph Matching

Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku

Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm

Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di

ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL

Yifei Zhou, Andrea Zanette, Jiayi Pan, Sergey Levine, Aviral Kumar

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection

Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-feng Li

Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models

Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process

Xiangxin Zhou, Liang Wang, Yichi Zhou

GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting

Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin

CurBench: Curriculum Learning Benchmark

Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li

RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation

Jiawei Zhou, Linye Lyu, Daojing He, Yu Li

Sequential Kernel Goodness-of-fit Testing

Zhengyu Zhou, Weiwei Liu

Conformalized Adaptive Forecasting of Heterogeneous Trajectories

Yanfei Zhou, Lars Lindemann, Matteo Sesia

Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data

Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou

Pedestrian Attribute Recognition as Label-balanced Multi-label Learning

Yibo Zhou, Hai-Miao Hu, Yirong Xiang, Xiaokang Zhang, Haotian Wu

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data

Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Tianchen Zhou, FNU Hairi, Haibo Yang, Jia Liu, Tian Tong

MultiMax: Sparse and Multi-Modal Attention Learning

Yuxuan Zhou, Mario Fritz, Margret Keuper

RoboDreamer: Learning Compositional World Models for Robot Imagination

Siyuan Zhou, Yilun Du, Jiaben Chen, Yandong Li, Dit-Yan Yeung

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm

Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan

MD tree: a model-diagnostic tree grown on loss landscape

Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts

Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma

Differentially Private Worst-group Risk Minimization

Xinyu Zhou, Raef Bassily

Jacobian Regularizer-based Neural Granger Causality

Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen

Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference

Yan Zhong, Xingyu Wu, Li Zhang, Chenxi Yang, Tingting Jiang

GNNs Also Deserve Editing, and They Need It More Than Once

Shaochen Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye

Towards Efficient Training and Evaluation of Robust Models against l_0 Bounded Adversarial Perturbations

Xuyang Zhong, Yixiao Huang, Chen Liu

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret

Han Zhong, Jiachen Hu, Yecheng Xue, Tongyang Li, Liwei Wang

ERQ: Error Reduction for Post-Training Quantization of Vision Transformers

Yunshan Zhong, Jiawei Hu, You Huang, Yuxin Zhang, Rongrong Ji

Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning

Bowen Zheng, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Self-Infilling Code Generation

Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong

On Prompt-Driven Safeguarding for Large Language Models

Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems

Zhi Zheng, Shunyu Yao, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan

ContPhy: Continuum Physical Concept Learning and Reasoning from Videos

Zhicheng Zheng, Xin Yan, Zhenfang Chen, Jingzhou Wang, Qin Zhi Eddie Lim

Detecting and Identifying Selection Structure in Sequential Data

Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang

Conformal Predictions under Markovian Data

Frédéric Zheng, Alexandre Proutiere

BAT: Learning to Reason about Spatial Sounds with Large Language Models

Zhisheng Zheng, Puyuan Peng, Ziyang Ma, Xie Chen, Eunsol Choi

ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling

Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss

Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daume III

Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale

Candi Zheng, Yuan Lan

GPT-4V(ision) is a Generalist Web Agent, if Grounded

Boyuan Zheng, Boyu Gou, Jihyung Kil, Huan Sun, Yu Su

Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics

Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin

Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics

Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel, H. V. Jagadish, Beng Chin Ooi

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control

Ruijie Zheng, Ching-An Cheng, Hal Daume III, Furong Huang, Andrey Kolobov

How Does Goal Relabeling Improve Sample Efficiency?

Sirui Zheng, Chenjia Bai, Zhuoran Yang, Zhaoran Wang

3D-VLA: A 3D Vision-Language-Action Generative World Model

Haoyu Zhen, Xiaowen Qiu, Peihao Chen, Jincheng Yang, Xin Yan

Clifford-Steerable Convolutional Neural Networks

Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter

Optimistic Multi-Agent Policy Gradient

Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen

LangCell: Language-Cell Pre-training for Cell Identity Understanding

Suyuan Zhao, Jiahuan Zhang, Yushuai Wu, Yizhen Luo, Zaiqing Nie

When Will Gradient Regularization Be Harmful?

Yang Zhao, Hao Zhang, Xiuyuan Hu

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar

Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization

Xingyi Zhao, Depeng Xu, Shuhan Yuan

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents

Qinlin Zhao, Jindong Wang, YIXUAN ZHANG, Yiqiao Jin, Kaijie Zhu

Gradient-based Visual Explanation for Transformer-based CLIP

Chenyang Zhao, Kun Wang, Xingyu Zeng, Rui Zhao, Antoni B. Chan

Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning

Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Lai Song

A Statistical Theory of Regularization-Based Continual Learning

Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei LIN

Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective

lei zhao, Mengdi Wang, Yu Bai

Quantum Implicit Neural Representations

Jiaming Zhao, Wenbo Qiao, Peng Zhang, Hui Gao

Rethinking Adversarial Robustness in the Context of the Right to be Forgotten

Chenxu Zhao, Wei Qian, Yangyi Li, Aobo Chen, Mengdi Huai

Spider: A Unified Framework for Context-dependent Concept Segmentation

Xiaoqi Zhao, Youwei Pang, Wei Ji, Baicheng Sheng, Jiaming Zuo

Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence

Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei

Subgoal-based Demonstration Learning for Formal Theorem Proving

Xueliang Zhao, Wenda Li, Lingpeng Kong

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

Bowen Zhao, Hannaneh Hajishirzi, Qingqing Cao

VideoPrism: A Foundational Visual Encoder for Video Understanding

Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan

Learning and Forgetting Unsafe Examples in Large Language Models

Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren

Image Fusion via Vision-Language Model

Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger Baker Grosse

Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion