ICLR 2025

3,703 papers

Selective Label Enhancement Learning for Test-Time Adaptation

Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu

Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon

Usvsn Sai Prashanth, Alvin Deng, Kyle O'Brien, Jyothir S V, Mohammad Aflah Khan

InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences

Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

Kexun Zhang, Weiran Yao, ZUXIN LIU, Yihao Feng, Zhiwei Liu

CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes

Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No

Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression

Sha Guo, Jing Chen, Zixuan Hu, Zhuo Chen, Wenhan Yang

Handling Delay in Real-Time Reinforcement Learning

Ivan Anokhin, Rishav Rishav, Matthew Riemer, Stephen Chung, Irina Rish

Decoupling Layout from Glyph in Online Chinese Handwriting Generation

Minsi Ren, Yan-Ming Zhang, Yi Chen

Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models

Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas FEL

Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning

Menglong Zhang, Fuyuan Qian, Quanying Liu

Large Language Models Often Say One Thing and Do Another

Ruoxi Xu, Hongyu Lin, Xianpei Han, Jia Zheng, Weixiang Zhou

EmbedLLM: Learning Compact Representations of Large Language Models

Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao

Global Convergence in Neural ODEs: Impact of Activation Functions

Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao

Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Pengxiang Li, Lu Yin, Shiwei Liu

Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality

Sungyoon Kim, Aaron Mishkin, Mert Pilanci

InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization

Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian

Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints

Yuxuan Wu, Ziyu Wang, Bhiksha Raj, Gus Xia

Adaptive Energy Alignment for Accelerating Test-Time Adaptation

Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, Jungmoon Lee, Younghyun Park

Discrete Copula Diffusion

Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck

Strength Estimation and Human-Like Strength Adjustment in Games

Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu

On the Adversarial Vulnerability of Label-Free Test-Time Adaptation

Shahriar Rifat, Jonathan Ashdown, Michael J. De Lucia, Ananthram Swami, Francesco Restuccia

Exploring Local Memorization in Diffusion Models via Bright Ending Attention

Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu

σ-zero: Gradient-based Optimization of ℓ_0-norm Adversarial Examples

Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio

Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond

Costin-Andrei Oncescu, Sanket Purandare, Stratos Idreos, Sham M. Kakade

Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space

Mengjing Wu, Junyu Xuan, Jie Lu

uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs

Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang

Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation

Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia

Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step

Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang

Exploring the Design Space of Visual Context Representation in Video MLLMs

Yifan Du, Yuqi Huo, Kun Zhou, Zijia Zhao, Haoyu Lu

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation

Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen

Shallow diffusion networks provably learn hidden low-dimensional structure

Nicholas Matthew Boffi, Arthur Jacot, Stephen Tu, Ingvar Ziemann

Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision

Yaowen Ye, Cassidy Laidlaw, Jacob Steinhardt

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery

Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng

VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks

Lawrence Keunho Jang, Yinheng Li, Dan Zhao, Charles Ding, Justin Lin

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees

Weibin Liao, Xu Chu, Yasha Wang

Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding

Frank Zhengqing Wu, Berfin Simsek, François Gaston Ged

CBQ: Cross-Block Quantization for Large Language Models

Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li

Neural Causal Graph for Interpretable and Intervenable Classification

Jiawei Wang, Shaofei Lu, Da Cao, Dongyu Wang, Yuquan Le

ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments

Hojae Han, Seung-won Hwang, Rajhans Samdani, Yuxiong He

Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model

Longrong Yang, Dong Shen, Chaoxiang Cai, Fan Yang, Tingting Gao

Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models

Negin Raoof, Litu Rout, Giannis Daras, Sujay Sanghavi, Constantine Caramanis

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Zhuoqun Li, Xuanang Chen, Haiyang Yu, Hongyu Lin, Yaojie Lu

Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement

Haijin Zeng, Benteng Sun, Yongyong Chen, Jingyong Su, Yong Xu

Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy

Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

Steering Protein Family Design through Profile Bayesian Flow

Jingjing Gong, Yu Pei, Siyu Long, Yuxuan Song, Zhe Zhang

Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets

Haoran He, Can Chang, Huazhe Xu, Ling Pan

Learned Reference-based Diffusion Sampler for multi-modal distributions

Maxence Noble, Louis Grenioux, Marylou Gabrie, Alain Oliviero Durmus

RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything

Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models

Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang

GenSE: Generative Speech Enhancement via Language Models using Hierarchical Modeling

Jixun Yao, Hexin Liu, Chen Chen, Yuchen Hu, EngSiong Chng

DynFrs: An Efficient Framework for Machine Unlearning in Random Forest

Shurong Wang, Zhuoyang Shen, Xinbao Qiao, Tongning Zhang, Meng Zhang

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis

Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo

Lean-STaR: Learning to Interleave Thinking and Proving

Haohan Lin, Zhiqing Sun, Sean Welleck, Yiming Yang

Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search

Max Liu, Chan-Hung Yu, Wei-Hsu Lee, Cheng-Wei Hung, Yen-Chun Chen

How to Verify Any (Reasonable) Distribution Property: Computationally Sound Argument Systems for Distributions

Tal Herman, Guy N. Rothblum

Sylber: Syllabic Embedding Representation of Speech from Raw Audio

Cheol Jun Cho, Nicholas Lee, Akshat Gupta, Dhruv Agarwal, Ethan Chen

Improving Neural Network Accuracy by Concurrently Training with a Twin Network

Benjamin Vandersmissen, Lucas Deckers, Jose Oramas

Diffusion-based Neural Network Weights Generation

Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong

Neuron based Personality Trait Induction in Large Language Models

Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Xin Zhao

Identifying latent state transitions in non-linear dynamical systems

Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge, S. T. John, Pekka Marttinen

A Simple yet Effective ΔΔ G Predictor is An Unsupervised Antibody Optimizer and Explainer

Lirong Wu, Yunfan Liu, Haitao Lin, Yufei Huang, Guojiang Zhao

Physics-Informed Diffusion Models

Jan-Hendrik Bastek, WaiChing Sun, Dennis Kochmann

A Second-Order Perspective on Model Compositionality and Incremental Learning

Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, SIMONE CALDERARA

T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning

Nabarun Goswami, Hanqin Wang, Tatsuya Harada

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch

Caigao JIANG, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou

DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing

Xinyu Ma, Yifeng Xu, Yang Lin, Tianlong Wang, Xu Chu

Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods

Buelent Uendes, Shujian Yu, Mark Hoogendoorn

Robust Simulation-Based Inference under Missing Data via Neural Processes

Yogesh Verma, Ayush Bharti, Vikas Garg

LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation

Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang

Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later

Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao

Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment

Huayu Chen, Hang Su, Peize Sun, Jun Zhu

gRNAde: Geometric Deep Learning for 3D RNA inverse design

Chaitanya K. Joshi, Arian Rokkum Jamasb, Ramon Viñas Torné, Charles Harris, Simon V Mathis

CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences

Ziran Qin, Yuchen Cao, Mingbao Lin, Wen Hu, Shixuan Fan

Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Qixun Wang, Yifei Wang, Xianghua Ying, Yisen Wang

ThunderKittens: Simple, Fast, and Adorable Kernels

Benjamin Frederick Spector, Simran Arora, Aaryan Singhal, Arjun Parthasarathy, Daniel Y Fu

Boltzmann priors for Implicit Transfer Operators

Juan Viguera Diez, Mathias Jacob Schreiner, Ola Engkvist, Simon Olsson

Redefining the task of Bioactivity Prediction

Yanwen Huang, Bowen Gao, Yinjun Jia, Hongbo Ma, Wei-Ying Ma

Taming Transformer Without Using Learning Rate Warmup

Xianbiao Qi, Yelin He, Jiaquan Ye, Chun-Guang Li, Bojia Zi

ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization

Philipp Scholl, Katharina Bieker, Hillary Hauger, Gitta Kutyniok

3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling

Qizhi Pei, Rui Yan, Kaiyuan Gao, Jinhua Zhu, Lijun Wu

ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models

Jeonghoon Shim, Gyuhyeon Seo, Cheongsu Lim, Yohan Jo

On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning

Roman Belaire, Arunesh Sinha, Pradeep Varakantham

Topological Schrödinger Bridge Matching

Maosheng Yang

DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints

Xia Jiang, Yaoxin Wu, Chenhao Zhang, Yingqian Zhang

Representational Similarity via Interpretable Visual Concepts

Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona

Learning to Discretize Denoising Diffusion ODEs

Vinh Tong, Dung Trung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert

An Effective Theory of Bias Amplification

Arjun Subramonian, Samuel Bell, Levent Sagun, Elvis DOHMATOB

Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining

Wonhyeok Choi, Kyumin Hwang, Wei Peng, Minwoo Choi, Sunghoon Im

SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng

Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models

Fusheng Liu, Qianxiao Li

FOSP: Fine-tuning Offline Safe Policy through World Models

Chenyang Cao, Yucheng Xin, Silang Wu, Longxiang He, Zichen Yan

Grounding Continuous Representations in Geometry: Equivariant Neural Fields

David Wessels, David M Knigge, Riccardo Valperga, Samuele Papa, Sharvaree Vadgama

Generating Graphs via Spectral Diffusion

Giorgia Minello, Alessandro Bicciato, Luca Rossi, Andrea Torsello, Luca Cosmo

GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction

Si Chen, Richong Zhang, Xu Zhang

The Computational Complexity of Circuit Discovery for Inner Interpretability

Federico Adolfi, Martina G. Vilas, Todd Wareham

Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling

Yuxin Dai, Qi Wang, Jingsen Zhu, Dianbing Xi, Yuchi Huo

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni

Residual Deep Gaussian Processes on Manifolds

Kacper Wyrwal, Andreas Krause, Viacheslav Borovitskiy

FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware

Korbinian Pöppel, Maximilian Beck, Sepp Hochreiter

UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition

Xiao Lin, Yuge Huang, Jianqing Xu, Yuxi Mi, Shuigeng Zhou