Papers
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
Yuxuan Wang, Haixu Wu, Jiaxiang Dong et al.
TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge
Huanan Li, Juntao Guan, Rui Lai et al.
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
Vijay Ekambaram, Arindam Jati, Pankaj Dayama et al.
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices
Hong Jia, Young D. Kwon, Alessio Orsino et al.
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty
Yasin Abbasi Yadkori, Ilja Kuzborskij, András György et al.
To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation
Chenxi Zhao, Jinglei Shi, Liqiang Nie et al.
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
Taihang Hu, Linxuan Li, Joost van de Weijer et al.
To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning
Xiao Liu, Muyang Lyu, Cong Yu et al.
Tolerant Algorithms for Learning with Arbitrary Covariate Shift
Surbhi Goel, Abhishek Shetty, Konstantinos Stavropoulos et al.
TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
Wei Li, Hehe Fan, Yongkang Wong et al.
Topic-Conversation Relevance (TCR) Dataset and Benchmarks
Yaran Fan, Jamie Pool, Senja Filipi et al.
TopoFR: A Closer Look at Topology Alignment on Face Recognition
Jun Dan, Yang Liu, Jiankang Deng et al.
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
Rayna Andreeva, Benjamin Dupuis, Rik Sarkar et al.
Topological obstruction to the training of shallow ReLU neural networks
Marco Nurisso, Pierrick Leroy, Francesco Vaccarino
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
Yanping Fu, Wenbin Liao, Xinyuan Liu et al.
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Nemin Wu, Qian Cao, Zhangyu Wang et al.
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang et al.
Toward Approaches to Scalability in 3D Human Pose Estimation
Jun-Hee Kim, Seong-Whan Lee
Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models
Hongliang Wei, Xingtao Wang, Xianqi Zhang et al.
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning
Dongjoon Lee, Hyeryn Park, Changhee Lee
Toward Conditional Distribution Calibration in Survival Prediction
Shi-ang Qi, Yakun Yu, Russell Greiner
Toward Dynamic Non-Line-of-Sight Imaging with Mamba Enforced Temporal Consistency
Yue Li, Yi Sun, Shida Sun et al.
Toward Efficient Inference for Mixture of Experts
Haiyang Huang, Newsha Ardalani, Anna Sun et al.
Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models
Weihang Xu, Maryam Fazel, Simon S. Du
Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model
Sai Wang, Yutian Lin, Yu Wu et al.