Papers
THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction
Yanchao Liu, Pengzhou Zhang, Wenchao Song et al.
Things Machine Learning Models Know That They Don’t Know
Salvatore Ruggieri, Andrea Pugnana
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues
Mingshen Wang, Zhao Zhang, Feng Li et al.
Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations
Decheng Liu, Zongqi Wang, Chunlei Peng et al.
Thin-Plate Spline-based Interpolation for Animation Line Inbetweening
Tianyi Zhu, Wei Shang, Dongwei Ren
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
Chenxu Wang, Ping Jian, Zhen Yang
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves
Martin Kurečka, Václav Nevyhoštěný, Petr Novotný et al.
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications
Yutong Xia, Runpeng Yu, Yuxuan Liang et al.
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
Zhu Liao, Nour Hezbri, Victor Quétu et al.
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
Chenglin Li, Guangchun Ruan, Hua Geng
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Geon Lee, Wenchao Yu, Kijung Shin et al.
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
Jiexi Liu, Meng Cao, Songcan Chen
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
Chenxi Liu, Qianxiong Xu, Hao Miao et al.
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
Yu-Hao Huang, Chang Xu, Yueying Wu et al.
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation
Yanyong Huang, Minghui Lu, Wei Huang et al.
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
Time Series Supplier Allocation via Deep Black-Litterman Model
Xinke Jiang, Wentao Zhang, Yuchen Fang et al.
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
Baichuan Huang, Amir Aminifar
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
Han Shu, Wenshuo Li, Yehui Tang et al.
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy
Marcin Pietron, Kamil Faber, Dominik Żurek et al.
TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation
Xingrui Wang, Xin Li, Yaosi Hu et al.
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation
Dongyeon Kim, Yejin Kan, Gangman Yi
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
Tianyu Zong, Bingkang Shi, Hongzhu Yi et al.
To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices
Sean McGregor, Allyson Ettinger, Nick Judd et al.