Papers
Towards Unsupervised Model Selection for Domain Adaptive Object Detection
Hengfu Yu, Jinhong Deng, Wen Li et al.
Towards Visual Text Design Transfer Across Languages
Yejin Choi, Jiwan Chung, Sumin Shim et al.
Toxicity Detection for Free
Zhanhao Hu, Julien Piet, Geng Zhao et al.
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee et al.
TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning
Hui Chen, Yanbin Liu, Yongqiang Ma et al.
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
Xiao Guo, Vishal Asnani, Sijia Liu et al.
TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation
Seong Hyeon Park, Huiwon Jang, Byungwoo Jeon et al.
TrAct: Making First-layer Pre-Activations Trainable
Felix Petersen, Christian Borgelt, Stefano Ermon
Trade-Offs of Diagonal Fisher Information Matrix Estimators
Alexander Soen, Ke Sun
Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification
Enrique Nueve, Bo Waggoner, Dhamma Kimpara et al.
Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes
Spencer Rooke, Zhaoze Wang, Ronald W. Di Tullio et al.
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
Yeongbin Seo, Dongha Lee, Jinyoung Yeo
Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data
Rui Huang, Henry Zheng, Yan Wang et al.
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
Lorenzo Orecchia, Jiawei Hu, Xue He et al.
Training Compute-Optimal Protein Language Models
Xingyi Cheng, Bo Chen, Pan Li et al.
Training Data Attribution via Approximate Unrolling
Juhan Bae, Wu Lin, Jonathan Lorraine et al.
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
Hongru Yang, Bhavya Kailkhura, Zhangyang Wang et al.
Training for Stable Explanation for Free
Chao Chen, Chenghua Guo, Rufeng Chen et al.
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
Hancheng Ye, Jiakang Yuan, Renqiu Xia et al.
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts
Zhiwei Lin, Yongtao Wang, Zhi Tang
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks
Pengfei Yao, Yinglong Zhu, Huikun Bi et al.
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear $q^\pi$-Realizability and Concentrability
Volodymyr Tkachuk, Gellért Weisz, Csaba Szepesvári
Trajectory Diffusion for ObjectGoal Navigation
Xinyao Yu, Sixian Zhang, Xinhang Song et al.
Trajectory Flow Matching with Applications to Clinical Time Series Modelling
Xi Zhang, Yuan Pu, Yuki Kawamura et al.