2025 Papers
21,856 papers found • Page 403 of 438
Trajectory attention for fine-grained video motion control
Zeqi Xiao, Wenqi Ouyang, Yifan Zhou et al.
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training
Brian Bartoldson, Siddarth Venkatraman, James Diffenderfer et al.
Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning
Yurun Yuan, Fan Chen, Zeyu Jia et al.
Trajectory-Class-Aware Multi-Agent Reinforcement Learning
Hyungho Na, Kwanghyeon Lee, Sumin Lee et al.
TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Models
Mark YU, Wenbo Hu, Jinbo Xing et al.
Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design
Yunfan Li, Eric Liu, Lin Yang
Trajectory Inference with Smooth Schrödinger Bridges
Wanli Hong, Yuliang Shi, Jonathan Niles-Weed
Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving
Kairui Yang, Zihao Guo, Gengjie Lin et al.
Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM
Yizhou Huang, Yihua Cheng, Kezhi Wang
Trajectory World Models for Heterogeneous Environments
Shaofeng Yin, Jialong Wu, Siqiao Huang et al.
TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
Yichen Liu, Yan Lin, Shengnan Guo et al.
Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning
Jiange Yang, Haoyi Zhu, Yating Wang et al.
Trans-Adapter: A Plug-and-Play Framework for Transparent Image Inpainting
Yuekun Dai, Haitian Li, Shangchen Zhou et al.
Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness
Yanyu Ren, Li Chen, Dan Li et al.
Transductive Conformal Inference for Full Ranking
Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard
Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties
Jiyoung Lee, Seungho Kim, Jieun Han et al.
Transferable Adversarial Face Attack with Text Controlled Attribute
Wenyun Li, Zheng Zhang, Xiangyuan Lan et al.
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
Tomas Soucek, Sylvestre-Alvise Rebuffi, Pierre Fernandez et al.
TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks
Fabio Brau, Maura Pintor, Antonio Cinà et al.
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
Yi Zhang, Elynn Chen, Yujun Yan
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Yeichan Kim, Ilmun Kim, Seyoung Park
Transfer Learning for Nonparametric Contextual Dynamic Pricing
Fan Wang, Feiyu Jiang, Zifeng Zhao et al.
Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift
Xiaoyu Hu, Zhenhua Lin
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
Ziyou Liang, Weifeng Liu, Run Wang et al.
Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model
Yuyao Wang, Yu-Hung Cheng, Debarghya Mukherjee et al.
Transfer Q-Learning with Composite MDP Structures
Jinhang Chai, Elynn Chen, Lin Yang
Transferring Causal Effects using Proxies
Manuel Iglesias-Alonso, Felix Schur, Julius von Kügelgen et al.
Transferring Linear Features Across Language Models With Model Stitching
Alan Chen, Jack Merullo, Alessandro Stolfo et al.
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
Tonglong Wei, Yan Lin, Zeyu Zhou et al.
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene
Tai-Yu Daniel Pan, Sooyoung Jeon, Mengdi Fan et al.
Transformative or Conservative? Conservation laws for ResNets and Transformers
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models
Zerui Tao, Yuhta Takida, Naoki Murata et al.
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
He Li, Haoang Chi, Mingyu Liu et al.
Transformer-based Tooth Alignment Prediction with Occlusion and Collision Constraints
DongZhenXing DongZhenXing, Jiazhou Chen
Transformer Block Coupling and its Correlation with Generalization in LLMs
Murdock Aubry, Haoming Meng, Anton Sugolov et al.
Transformer brain encoders explain human high-level visual responses
Hossein Adeli, Sun Minni, Nikolaus Kriegeskorte
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
Jiaru Zou, Yikun Ban, Zihao Li et al.
Transformer Encoder Satisfiability: Complexity and Impact on Formal Reasoning
Marco Sälzer, Eric Alsmann, Martin Lange
Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders
Mengyu Ye, Jun Suzuki, Tatsuro Inaba et al.
Transformer Layers as Painters
Qi Sun, Marc Pickett, Aakash Kumar Nain et al.
Transformer Learns Optimal Variable Selection in Group-Sparse Classification
Chenyang Zhang, Xuran Meng, Yuan Cao
Transformer Meets Twicing: Harnessing Unattended Residual Information
Laziz Abdullaev, Tan Nguyen
Transformers are almost optimal metalearners for linear classification
Roey Magen, Gal Vardi
Transformers are Universal In-context Learners
Takashi Furuya, Maarten V de Hoop, Gabriel Peyré
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
Jiuqi Wang, Ethan Blaser, Hadi Daneshmand et al.
Transformers for Mixed-type Event Sequences
Felix Draxler, Yang Meng, Kai Nelson et al.
Transformers Handle Endogeneity in In-Context Linear Regression
Haodong Liang, Krishna Balasubramanian, Lifeng Lai
Transformers Learn Faster with Semantic Focus
Parikshit Ram, Kenneth Clarkson, Tim Klinger et al.
Transformers Learn Low Sensitivity Functions: Investigations and Implications
Bhavya Vasudeva, Deqing Fu, Tianyi Zhou et al.
Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
Jianhao Huang, Zixuan Wang, Jason Lee