Papers
Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning
Yu Liu, Haoqin Yang, Jinping Sui et al.
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling
Linghao Kong, Xiaopeng Hong
Time Shuffle: A Transferability-Booster for Multiple Audio Adversarial Tasks
JiaCheng Deng, Dengpan Ye, Yuhong Liu et al.
Timestep-Compressed Attack on Spiking Neural Networks Through Timestep-Level Backpropagation
Donghwa Kang, Doohyun Kim, Sang-Ki Ko et al.
TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs
Yunxiao Wang, Meng Liu, Wenqi Liu et al.
TIM++: Transductive Information Maximization for Few-Shot CLIP
Yingping Li, Yutong Zou, Yunshi Huang et al.
TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks
Xuanle Zhao, Shuxin Zeng, Xinyuan Cai et al.
TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models
Yi Cao, Weijie Shi, Wei-Jie Xu et al.
TLAGC: Taylor Linear Attention-Guided Graph Convolutions for Revealing Spatial Domains in Spatial Multi-Omics Data
Aoyun Geng, Chunyan Cui, Yunyun Su et al.
T-LoRA: Single Image Diffusion Model Customization Without Overfitting
Vera Soboleva, Aibek Alanov, Andrey Kuznetsov et al.
TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference
Chuxiong Sun, Dunqi Yao, Rui Wang et al.
TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities
Yan Zhuang, Minhao Liu, Yanru Zhang et al.
To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance
Wanlong Fang, Tianle Zhang, Alvin Chan
ToC: Tree-of-Claims Search with Multi-Agent Language Models
Shuyang Yu, Jianan Liang, Hui Hu
TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models
Li Zhang, Zhongxuan Han, XiaoHua Feng et al.
Token-Context Attention for NLI: An Alternative to Self-Attention
Xin Zhang, Victor S. Sheng
Token Painter: Training-Free Text-Guided Image Inpainting via Mask Autoregressive Models
Longtao Jiang, Jie Huang, Mingfei Han et al.
TokenPowerBench: Benchmarking the Power Consumption of LLM Inference
Chenxu Niu, Wei Zhang, Jie Li et al.
TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents
Bofei Zhang, Zirui Shang, Zhi Gao et al.
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning
Xingshan Zeng, Weiwen Liu, Xu Huang et al.
ToolSmith: A Multi-Agent Framework for Enterprise Tool Creation
Purna Chandra Sekhar Vakudavathu, Kushal Mukherjee, Jayachandu Bandlamudi et al.
Too Sure for Our Own Good: A User Study on AI Confidence and Human Reliance
Caterina Fregosi, Lucia Vicente, Andrea Campagner et al.