ICLR 2025 Papers
3,827 papers found • Page 3 of 77
A Decade's Battle on Dataset Bias: Are We There Yet?
Zhuang Liu, Kaiming He
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
Aron Brenner, Rahman Khorramfar, Jennifer Sun et al.
A deep inverse-mapping model for a flapping robotic wing
Hadar Sharvit, Raz Karl, Tsevi Beatus
ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
Pengwei Tang, Xiaolin Hu, Yong Liu
A Differentiable Rank-Based Objective for Better Feature Learning
Krunoslav Lehman Pavasovic, Giulio Biroli, Levent Sagun
ADIFF: Explaining audio difference using natural language
Soham Deshmukh, Shuo Han, Rita Singh et al.
A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
Sheng Xu, Bo Yue, Hongyuan Zha et al.
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
Carles Domingo i Enrich, Michal Drozdzal, Brian Karrer et al.
ADMM for Nonconvex Optimization under Minimal Continuity Assumption
Ganzhao Yuan
ADMM for Structured Fractional Minimization
Ganzhao Yuan
Advancing Graph Generation through Beta Diffusion
Xinyang Liu, Yilin He, Bo Chen et al.
Advancing LLM Reasoning Generalists with Preference Trees
Lifan Yuan, Ganqu Cui, Hanbin Wang et al.
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
Zui Chen, Tianqiao Liu, Tongqing et al.
Advancing Out-of-Distribution Detection via Local Neuroplasticity
Alessandro Canevaro, Julian Schmidt, Sajad Marvi et al.
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi KANG, Liyuan Wang, Xingxing Zhang et al.
Advantage Alignment Algorithms
Juan Duque, Milad Aghajohari, Timotheus Cooijmans et al.
Advantage-Guided Distillation for Preference Alignment in Small Language Models
Shiping Gao, Fanqi Wan, Jiajian Guo et al.
Adversarial Attacks on Data Attribution
Xinhe Wang, Pingbang Hu, Junwei Deng et al.
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
Ni Zhang, Jingfeng Yang, Zhiguang Cao et al.
Adversarial Latent Feature Augmentation for Fairness
Hoin Jung, Junyi Chai, Xiaoqian Wang
Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation
Hossein Mirzaei Sadeghlou, Mojtaba Nafez, Jafar Habibi et al.
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings
Hossein Mirzaei Sadeghlou, Mackenzie Mathis
Adversarial Machine Unlearning
Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik et al.
Adversarial Mixup Unlearning
Zhuoyi Peng, Yixuan Tang, Yi Yang
Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
Robert Hönig, Javier Rando, Nicholas Carlini et al.
Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
Hyungkyu Kang, Min-hwan Oh
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step
Mingyuan Zhou, Huangjie Zheng, Yi Gu et al.
Adversarial Search Engine Optimization for Large Language Models
Fredrik Nestaas, Edoardo Debenedetti, Florian Tramer
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li, Yuanzhi Li
Adversarial Training for Defense Against Label Poisoning Attacks
Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
Maayan Ehrenberg, Roy Ganz, Nir Rosenfeld
AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption
Joonsung Jeon, Woo Jae Kim, Suhyeon Ha et al.
AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
Mintong Kang, Chejian Xu, Bo Li
Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
Yikang Li, Yeqing Qiu, Yuxuan Chen et al.
AFlow: Automating Agentic Workflow Generation
Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu et al.
A Formal Framework for Understanding Length Generalization in Transformers
Xinting Huang, Andy Yang, Satwik Bhattamishra et al.
A General Framework for Off-Policy Learning with Partially-Observed Reward
Rikiya Takehi, Masahiro Asami, Kosuke Kawakami et al.
A General Framework for Producing Interpretable Semantic Text Embeddings
Yiqun Sun, Qiang Huang, Yixuan Tang et al.
A Generalist Hanabi Agent
Arjun V Sudhakar, Hadi Nekoei, Mathieu Reymond et al.
A Generic Framework for Conformal Fairness
Aditya Vadlamani, Anutam Srinivasan, Pranav Maneriker et al.
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian et al.
AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
Ke Yang, Yao Liu, Sapana Chaudhary et al.
Agent-Oriented Planning in Multi-Agent Systems
Ao LI, Yuexiang Xie, Songze Li et al.
AgentRefine: Enhancing Agent Generalization through Refinement Tuning
Dayuan Fu, Keqing He, Yejie Wang et al.
Agent S: An Open Agentic Framework that Uses Computers Like a Human
Saaket Agashe, Jiuzhou Han, Shuyu Gan et al.
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
Hanrong Zhang, Jingyuan Huang, Kai Mei et al.
Agent Skill Acquisition for Large Language Models via CycleQD
So Kuroki, Taishi Nakamura, Takuya Akiba et al.
AgentSquare: Automatic LLM Agent Search in Modular Design Space
Yu Shang, Yu Li, Keyu Zhao et al.
Agents' Room: Narrative Generation through Multi-step Collaboration
Fantine Huot, Reinald Kim Amplayo, Jennimaria Palomaki et al.
AgentStudio: A Toolkit for Building General Virtual Agents
Longtao Zheng, Zhiyuan Huang, Zhenghai Xue et al.