ICLR 2025

3,703 papers

Long-tailed Adversarial Training with Self-Distillation

Seungju Cho, Hongsin Lee, Changick Kim

MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation

Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He

3D-Properties: Identifying Challenges in DPO and Charting a Path Forward

Yuzi Yan, yibo miao, Jialian Li, YipinZhang, jian xie

Linear Mode Connectivity in Differentiable Tree Ensembles

Ryuichi Kanoh, Mahito Sugiyama

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks

Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi

Pareto Prompt Optimization

Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo

Rational Decision-Making Agent with Learning Internal Utility Judgment

Yining Ye, Xin Cong, Shizuo Tian, Yujia Qin, Chong Liu

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning

Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data

Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alex Dimakis

Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator

Wenhao Xu, Xuefeng GAO, Xuedong He

Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models

Qiong Wu, Zhaoxi Ke, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji

Scaling Laws for Downstream Task Performance in Machine Translation

Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii

D_2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models

Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics

Keyi Shen, Jiangwei Yu, Jose Barreiros, Huan Zhang, Yunzhu Li

MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL

Claas A Voelcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski

Does SGD really happen in tiny subspaces?

Minhak Song, Kwangjun Ahn, Chulhee Yun

On the expressiveness and spectral bias of KANs

Yixuan Wang, Jonathan W. Siegel, Ziming Liu, Thomas Y. Hou

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees

Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher Brinton

Theory on Mixture-of-Experts in Continual Learning

Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness Shroff

Large Language Models are Interpretable Learners

Ruochen Wang, Si Si, Felix Yu, Dorothea Wiesmann Rothuizen, Cho-jui Hsieh

EG4D: Explicit Generation of 4D Object without Score Distillation

Qi Sun, Zhiyang Guo, Ziyu Wan, Jing Nathan Yan, Shengming Yin

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo

Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin

Re-Aligning Language to Visual Objects with an Agentic Workflow

Yuming Chen, Jiangyan Feng, Haodong Zhang, Lijun Gong, Feng Zhu

PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models

Kyeongkook Seo, Dong-Jun Han, Jaejun Yoo

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Junyu Chen, Han Cai, Junsong Chen, Enze Xie, Shang Yang

RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression

Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang

A Theory for Token-Level Harmonization in Retrieval-Augmented Generation

Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction

Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn

BodyGen: Advancing Towards Efficient Embodiment Co-Design

Haofei Lu, Zhe Wu, Junliang Xing, Jianshu Li, Ruoyu Li

Realistic Evaluation of Deep Partial-Label Learning Algorithms

Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-ling Zhang

Accelerating Neural ODEs: A Variational Formulation-based Approach

Hongjue Zhao, Yuchen Wang, Hairong Qi, Zijie Huang, Han Zhao

Graph Sparsification via Mixture of Graphs

Guibin Zhang, Xiangguo Sun, Yanwei Yue, Chonghe Jiang, Kun Wang

LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior

Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava

Near-optimal Active Regression of Single-Index Models

Yi Li, Wai Ming Tai

Rethinking Spiking Neural Networks from an Ensemble Learning Perspective

Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Hanpu Deng

Knowledge Localization: Mission Not Accomplished? Enter Query Localization!

Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction

Jing Yang, Minyue Jiang, Sen Yang, Xiao Tan, Yingying Li

CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models

Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun, Kede Ma, Ying Wei

Learning Causal Alignment for Reliable Disease Diagnosis

Mingzhou Liu, Ching-Wen Lee, Xinwei Sun, Xueqing Yu, Yu Qiao

How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning

Yao Tong, Jiayuan Ye, Sajjad Zarifzadeh, Reza Shokri

Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs

Yuhan Chen, Yihong Luo, Yifan Song, Pengwen Dai, Jing Tang

Analytic DAG Constraints for Differentiable DAG Learning

Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong

Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies

Lingwei Zhu, Han Wang, Yukie Nagai

MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval

Yanzhe Chen, Zhiwen Yang, Jinglin Xu, Yuxin Peng

Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation

Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang

Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Zhenyu Pan, Haozheng Luo, Manling Li, Han Liu

q-exponential family for policy optimization

Lingwei Zhu, Haseeb Shah, Han Wang, Yukie Nagai, Martha White

NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer

Meng YOU, Zhiyu Zhu, Hui LIU, Junhui Hou

Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables

Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong

Towards Unbiased Learning in Semi-Supervised Semantic Segmentation

Rui Sun, Huayu Mai, Wangkai Li, Tianzhu Zhang

CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement

Aming Wu, Cheng Deng

Training-free Camera Control for Video Generation

Chen Hou, Zhibo Chen

RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models

Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song

A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules

Shih-Hsin Wang, Yuhao Huang, Justin M. Baker, Yuan-En Sun, Qi Tang

DRL: Decomposed Representation Learning for Tabular Anomaly Detection

Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dan dan Guo

ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample V-Ensemble

Tianyuan Chen, Ronglong Cai, Faguo Wu, Xiao Zhang

Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization

Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong

MixEval-X: Any-to-any Evaluations from Real-world Data Mixture

Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang

Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models

Lin Zhu, Xinbing Wang, Chenghu Zhou, Qinying Gu, Nanyang Ye

TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation

Mohan Xu, Kai Li, Guo Chen, Xiaolin Hu

SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios

Kai Li, Wendi Sang, Chang Zeng, Runxuan Yang, Guo Chen

Ada-K Routing: Boosting the Efficiency of MoE-based LLMs

Tongtian Yue, Longteng Guo, Jie Cheng, Xuange Gao, Hua Huang

Uni-Sign: Toward Unified Sign Language Understanding at Scale

Zecheng Li, Wengang Zhou, Weichao Zhao, Kepeng Wu, Hezhen Hu

Faster Algorithms for Structured Linear and Kernel Support Vector Machines

Yuzhou Gu, Zhao Song, Lichen Zhang

PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance

Haohan Weng, Yikai Wang, Tong Zhang, C. L. Philip Chen, Jun Zhu

Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions

Yan Ru Pei

RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks

Nazia Tasnim, Bryan A. Plummer

HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models

Qiushi Huang, Tom Ko, Zhan Zhuang, Lilian Tang, Yu Zhang

Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards

Xiaoyu Yang, Jie Lu, En Yu

ComLoRA: A Competitive Learning Approach for Enhancing LoRA

Qiushi Huang, Tom Ko, Lilian Tang, Yu Zhang

From Commands to Prompts: LLM-based Semantic File System for AIOS

Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset

Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu

Demystifying the Token Dynamics of Deep Selective State Space Models

Thieu Vo, Duy-Tung Pham, Xin T. Tong, Tan Minh Nguyen

Multi-Task Dense Predictions via Unleashing the Power of Diffusion

Yuqi Yang, Peng-tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen

Language Representations Can be What Recommenders Need: Findings and Potentials

Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang

UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting

Haoyuan Li, Zhou Yanpeng, Tao Tang, Jifei Song, Yihan Zeng

A transfer learning framework for weak to strong generalization

Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin

Rethinking the role of frames for SE(3)-invariant crystal structure modeling

Yusei Ito, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kanta Ono

Learning Interleaved Image-Text Comprehension in Vision-Language Large Models

Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning

Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems

Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze

Integral Performance Approximation for Continuous-Time Reinforcement Learning Control

Brent A. Wallace, Jennie Si

RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization

HANYANG ZHAO, Genta Indra Winata, Anirban Das, Shi-Xiong Zhang, David Yao

MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations

Hongyu Ke, Jack Morris, Kentaro Oguchi, Xiaofei Cao, Yongkang Liu

Learning local equivariant representations for quantum operators

Zhanghao Zhouyin, Zixi Gan, Shishir Kumar Pandey, Linfeng Zhang, Qiangqiang Gu

VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning

Nilay Yilmaz, Maitreya Patel, Yiran Lawrence Luo, Tejas Gokhale, Chitta Baral

RandLoRA: Full rank parameter-efficient fine-tuning of large models

Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez-Opazo, Anton van den Hengel

Neural Fluid Simulation on Geometric Surfaces

Haoxiang Wang, Tao Yu, Hui Qiao, Qionghai Dai

UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation

Xianwei Zhuang, Zhihong Zhu, Zhichang Wang, Xuxin Cheng, Yuexian Zou

Uncovering Gaps in How Humans and LLMs Interpret Subjective Language

Erik Jones, Arjun Patrawala, Jacob Steinhardt

Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models

Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen

Improving Neural Optimal Transport via Displacement Interpolation

Jaemoo Choi, Yongxin Chen, Jaewoong Choi

SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups

Yongxing Zhang, Donglin Yang, Renjie Liao

Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization

Zichen Wang, Yaokun Ji, Jianing Tian, Shuangjia Zheng

Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games

Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki

PiCO: Peer Review in LLMs based on Consistency Optimization

Kun-Peng Ning, Shuo Yang, Yuyang Liu, Jia-Yu Yao, Zhenhui Liu

xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation

Qingchen Yu, Zifan Zheng, Shichao Song, Zhiyu Li, Feiyu Xiong

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations

Namgyu Kang, Jaemin Oh, Youngjoon Hong, Eunbyung Park

Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis

Weiwei Lin, Chenhang He

Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries

Hang Chen, Chufeng Tang, Xiao Li, Xiaolin Hu