Papers
11,951 papers found
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
Megh Shukla, Aziz Shameem, Mathieu Salzmann et al.
Towards Semantic Equivalence of Tokenization in Multimodal LLM
Shengqiong Wu, Hao Fei, Xiangtai Li et al.
Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
Tengfei Ma, Xiang song, Wen Tao et al.
Towards Unbiased Learning in Semi-Supervised Semantic Segmentation
Rui Sun, Huayu Mai, Wangkai Li et al.
Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias
Rui Lu, Runzhe Wang, Kaifeng Lyu et al.
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
Yiming Liu, Kezhao Liu, Yao Xiao et al.
Towards Understanding the Universality of Transformers for Next-Token Prediction
Michael Eli Sander, Gabriel Peyré
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li, Jiachun Pan, Vincent Y. F. Tan et al.
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
Guoxuan Xia, Olivier Laurent, Gianni Franchi et al.
Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization
Guangtao Lyu, Chenghao Xu, Jiexi Yan et al.
Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures
Junxuan Wang, Xuyang Ge, Wentao Shu et al.
Toward Understanding In-context vs. In-weight Learning
Bryan Chan, Xinyi Chen, András György et al.
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
Weibin Liao, Xu Chu, Yasha Wang
TRACE: Temporal Grounding Video LLM via Causal Event Modeling
Yongxin Guo, Jingyu Liu, Mingda Li et al.
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang et al.
Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
Jiachen Jiang, Jinxin Zhou, Zhihui Zhu
Tracking objects that change in appearance with phase synchrony
Sabine Muzellec, Drew Linsley, Alekh Karkada Ashok et al.
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
Yubo Wang, Jianting Tang, Chaohu Liu et al.
Track-On: Transformer-based Online Point Tracking with Memory
Görkay Aydemir, Xiongyi Cai, Weidi Xie et al.
Tractable Multi-Agent Reinforcement Learning through Behavioral Economics
Eric Mazumdar, Kishan Panaganti, Laixi Shi
Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
Spencer Frei, Gal Vardi
Training-Free Activation Sparsity in Large Language Models
James Liu, Pragaash Ponnusamy, Tianle Cai et al.
Training-free Camera Control for Video Generation
Chen Hou, Zhibo Chen
Training-Free Dataset Pruning for Instance Segmentation
Yalun Dai, Lingao Xiao, Ivor Tsang et al.
Training-Free Diffusion Model Alignment with Sampling Demons
Po-Hung Yeh, Kuang-Huei Lee, Jun-cheng Chen