ICML 2025 Papers
3,340 papers found • Page 63 of 67
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
Fanqing Meng, Jiaqi Liao, Xinyu Tan et al.
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
Gwen Yidou-Weng, Benjie Wang, Guy Van den Broeck
TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction
Shi Yin, Xinyang Pan, fengyan wang et al.
Tracking Most Significant Shifts in Infinite-Armed Bandits
Joe Suk, Jung-hun Kim
Tracking The Best Expert Privately
Hilal Asi, Vinod Raman, Aadirupa Saha
Tractable Transformers for Flexible Conditional Generation
Anji Liu, Xuejie Liu, Dayuan Zhao et al.
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
Jaeyeon Kim, Kulin Shah, Vasilis Kontonis et al.
Training a Generally Curious Agent
Fahim Tajwar, Yiding Jiang, Abitha Thankaraj et al.
Training Deep Learning Models with Norm-Constrained LMOs
Thomas Pethick, Wanyun Xie, Kimon Antonakopoulos et al.
Training Diffusion-based Generative Models with Limited Data
Zhaoyu Zhang, Yang Hua, Guanxiong Sun et al.
Training Dynamics of In-Context Learning in Linear Attention
Yedi Zhang, Aaditya Singh, Peter Latham et al.
Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra
Alan Amin, Andres Potapczynski, Andrew Wilson
Training High Performance Spiking Neural Network by Temporal Model Calibration
Jiaqi Yan, Changping Wang, De Ma et al.
Training Software Engineering Agents and Verifiers with SWE-Gym
Jiayi Pan, Xingyao Wang, Graham Neubig et al.
Trajectory Inference with Smooth Schrödinger Bridges
Wanli Hong, Yuliang Shi, Jonathan Niles-Weed
Trajectory World Models for Heterogeneous Environments
Shaofeng Yin, Jialong Wu, Siqiao Huang et al.
Transfer Learning for Nonparametric Contextual Dynamic Pricing
Fan Wang, Feiyu Jiang, Zifeng Zhao et al.
Transfer Q-Learning with Composite MDP Structures
Jinhang Chai, Elynn Chen, Lin Yang
Transformative or Conservative? Conservation laws for ResNets and Transformers
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
He Li, Haoang Chi, Mingyu Liu et al.
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
HUAKUN LUO, Haixu Wu, Hang Zhou et al.
TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
Jaeho Kim, Seulki Lee
TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree
Yu-Yang Qian, Yuan-Ze Xu, Zhen-Yu Zhang et al.
Tree-Sliced Wasserstein Distance: A Geometric Perspective
Viet Hoang Tran, Trang Pham, Tho Tran Huu et al.
Tree-Sliced Wasserstein Distance with Nonlinear Projection
Thanh Tran, Viet Hoang Tran, Thanh Chu et al.
Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints
Hengquan Guo, Lingkai Zu, Xin Liu
Trusted Multi-View Classification with Expert Knowledge Constraints
Xinyan Liang, Shijie Wang, Yuhua Qian et al.
Trust-Region Twisted Policy Improvement
Joery de Vries, Jinke He, Yaniv Oren et al.
TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models
Kangjie Chen, Muyang Li, Guanlin Li et al.
Trustworthy Machine Learning through Data-Specific Indistinguishability
Hanshen Xiao, Zhen Yang, Edward Suh
TruthFlow: Truthful LLM Generation via Representation Flow Correction
Hanyu Wang, Bochuan Cao, Yuanpu Cao et al.
TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization
Songtao Lu
TS-SNN: Temporal Shift Module for Spiking Neural Networks
Kairong Yu, Tianqing Zhang, Qi Xu et al.
TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
Feiyang Wang, Xingquan Zuo, Hai Huang et al.
TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer
Lusen Zhao, Zihan Huang, Ding Jianhao et al.
TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs
Felipe Nuti, Tim Franzmeyer, Joao Henriques
TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
Xingcheng Zhou, Konstantinos Larintzakis, Hao Guo et al.
Tuning LLM Judge Design Decisions for 1/1000 of the Cost
David Salinas, Omar Swelam, Frank Hutter
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
Kyurae Kim, Zuheng Xu, Jacob Gardner et al.
Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations
Lee Cohen, Connie Hong, Jack Hsieh et al.
TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories
Honghua Dong, Jiacheng Yang, Xun Deng et al.
UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning
Jiawei Zhang, Shuang Yang, Bo Li
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
Xin Xu, Qiyun Xu, Tong Xiao et al.
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
Perampalli Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin et al.
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
Anle Ke, Xu Zhang, Tong Chen et al.
Ultra-Resolution Adaptation with Ease
Ruonan Yu, Songhua Liu, Zhenxiong Tan et al.
UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
Fangchen Yu, Yanzhen Chen, Jiaxing Wei et al.
Unbiased Evaluation of Large Language Models from a Causal Perspective
Meilin Chen, Jian Tian, Liang Ma et al.
Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
Eric Wang, Zhichao Chen, Haotian Wang et al.
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn