ICLR 2024

2,260 papers

Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song

WebArena: A Realistic Web Environment for Building Autonomous Agents

Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo

Diffusion Models for Multi-Task Generative Modeling

Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie

Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning

Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta

A Unified Framework for Bayesian Optimization under Contextual Uncertainty

Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Jonghyun Lee, Hansam Cho, YoungJoon Yoo, Seoung Bum Kim, Yonghyun Jeong

FedImpro: Measuring and Improving Client Update in Federated Learning

Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text

Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang

Provably Robust Conformal Prediction with Improved Efficiency

Ge Yan, Yaniv Romano, Tsui-Wei Weng

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks

Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan

Efficient Integrators for Diffusion Generative Models

Kushagra Pandey, Maja Rudolph, Stephan Mandt

Soft Contrastive Learning for Time Series

Seunghan Lee, Taeyoung Park, Kibok Lee

MOFI: Learning Image Representations from Noisy Entity Annotated Images

Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan

Graphical Multioutput Gaussian Process with Attention

Yijue Dai, Wenzhong Yan, Feng Yin

On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks

Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An

METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Seohong Park, Oleh Rybkin, Sergey Levine

On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback

Ziwei Guan, Yi Zhou, Yingbin Liang

Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining

Licong Lin, Yu Bai, Song Mei

Temporal Generalization Estimation in Evolving Graphs

Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models

Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He

Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow

Hanyu Zhou, Yi Chang, Haoyue Liu, Yan Wending, Yuxing Duan

Mayfly: a Neural Data Structure for Graph Stream Summarization

Yuan Feng, Yukun Cao, Wang Hairu, Xike Xie, S Kevin Zhou

HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments

Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du

Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions

Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu

Don't Play Favorites: Minority Guidance for Diffusion Models

Soobin Um, Suhyeon Lee, Jong Chul Ye

Information Retention via Learning Supplemental Features

Zhipeng Xie, Yahe Li

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution

Yiyang Ma, Huan Yang, Wenhan Yang, Jianlong Fu, Jiaying Liu

Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization

Fei Kong, Jinhao Duan, Ruipeng Ma, Heng Tao Shen, Xiaoshuang Shi

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

Bin Zhu, Bin Lin, Munan Ning, Yang Yan, Jiaxi Cui

Video Language Planning

Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid

Large Language Models as Generalizable Policies for Embodied Tasks

Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf

Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic

Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data

Thomas TCK Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni

Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback

Yiliu Wang, Wei Chen, Milan Vojnovic

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim

How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations

Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong

AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification

Hang Yu, Cong Liao, Ruolan Liu, Jianguo Li, Hu Yun

The False Promise of Imitating Proprietary Language Models

Arnav Gudibande, Eric Wallace, Charlie Victor Snell, XINYANG GENG, Hao Liu

MaGIC: Multi-modality Guided Image Completion

Hao Wang, Yongsheng Yu, Tiejian Luo, Heng Fan, Libo Zhang

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu

Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation

Hoyong Kim, kangil kim

Making Pre-trained Language Models Great on Tabular Prediction

Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Chen

Unsupervised Order Learning

Seon-Ho Lee, Nyeong-Ho Shin, Chang-Su Kim

Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations

Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim

VQ-TR: Vector Quantized Attention for Time Series Forecasting

Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia

Transferring Learning Trajectories of Neural Networks

Daiki Chijiwa

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models

Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim

Stochastic Modified Equations and Dynamics of Dropout Algorithm

Zhongwang Zhang, Yuqing Li, Tao Luo, Zhi-Qin John Xu

∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States

Sam Bond-Taylor, Chris G. Willcocks

Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice

Jicong Fan, Rui Chen, Zhao Zhang, Chris Ding

Submodular Reinforcement Learning

Manish Prajapat, Mojmir Mutny, Melanie Zeilinger, Andreas Krause

A representation-learning game for classes of prediction tasks

Neria Uzan, Nir Weinberger

A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models

Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang

Adaptive Window Pruning for Efficient Local Motion Deblurring

Haoying Li, Jixin Zhao, Shangchen Zhou, Huajun Feng, Chongyi Li

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection

Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang

EasyTPP: Towards Open Benchmarking Temporal Point Processes

Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao

Label-Noise Robust Diffusion Models

Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon

Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing

Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yichong Leng

Masked Structural Growth for 2x Faster Language Model Pre-training

Yiqun Yao, Zheng Zhang, Jing Li, Yequan Wang

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer

Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas

Invariance-based Learning of Latent Dynamics

Kai Lagemann, Christian Lagemann, Sach Mukherjee

SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS

Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods

Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao

LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts

Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer, Salman Khan, Peter Wonka

Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data

Ce Ju, Reinmar J Kobler, Liyao Tang, Cuntai Guan, Motoaki Kawanabe

Finetuning Text-to-Image Diffusion Models for Fairness

Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments

Yang Yang, Wenhai Wang, Zhe Chen, Jifeng Dai, Liang Zheng

Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks

Suhwan Choi, Myeongho Jeon, Yeonjung Hwang, Jeonglyul Oh, Sungjun Lim

Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization

Kun LEI, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu

Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization

Guang Lin, CHAO LI, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao

Benchmarking and Improving Generator-Validator Consistency of Language Models

Xiang Lisa Li, Vaishnavi Shrivastava, Siyan Li, Tatsunori Hashimoto, Percy Liang

Skip-Attention: Improving Vision Transformers by Paying Less Attention

Shashanka Venkataramanan, Amir Ghodrati, Yuki M Asano, Fatih Porikli, Amir Habibian

Turning large language models into cognitive models

Marcel Binz, Eric Schulz

LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints

Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou

On the Posterior Distribution in Denoising: Application to Uncertainty Quantification

Hila Manor, Tomer Michaeli

Mixture of LoRA Experts

Xun Wu, Shaohan Huang, Furu Wei

Towards Meta-Pruning via Optimal Transport

Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis

Transformer Fusion with Optimal Transport

Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis

Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning

Na Li, Yuchen Jiao, Hangguan Shan, Shefeng Yan

Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation

Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata

Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects

Aming Wu, Cheng Deng

The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models

Raphaël Avalos, Florent Delgrange, Ann Nowe, Guillermo Pérez, Diederik M Roijers

On Double Descent in Reinforcement Learning with LSTD and Random Features

David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse

Measuring Vision-Language STEM Skills of Neural Models

Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang

MAP IT to Visualize Representations

Robert Jenssen

FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data

Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou

Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks

Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan

Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach

Changwen Zhang, Wenli Ouyang, Hao Yuan, Liming Gong, Yong Sun

Retrieval is Accurate Generation

Bowen Cao, Deng Cai, Leyang Cui, Xuxin Cheng, Wei Bi

Scalable and Effective Implicit Graph Neural Networks on Large Graphs

Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong

AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference

Xuanlei Zhao, Shenggan Cheng, Guangyang LU, Haotian Zhou, Bin Jia

Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning

Sheng Xu, Guiliang Liu

Two-timescale Extragradient for Finding Local Minimax Points

Jiseok Chae, Kyuwon Kim, Donghwan Kim

Algorithms for Caching and MTS with reduced number of predictions

Karim Ahmed Abdel Sadek, Marek Elias

Interpretable Diffusion via Information Decomposition

Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg