Papers
TaskMet: Task-driven Metric Learning for Model Learning
Dishank Bansal, Ricky T. Q. Chen, Mustafa Mukadam et al.
Task-Robust Pre-Training for Worst-Case Downstream Adaptation
Jianghui Wang, Yang Chen, Xingyu Xie et al.
Taylor TD-learning
Michele Garibbo, Maxime Robeyns, Laurence Aitchison
TD Convergence: An Optimization Perspective
Kavosh Asadi, Shoham Sabach, Yao Liu et al.
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning
Stephen McAleer, Gabriele Farina, Gaoyue Zhou et al.
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
Yefan Zhou, TIANYU PANG, Keqin Liu et al.
Template-free Articulated Neural Point Clouds for Reposable View Synthesis
Lukas Uzolas, Elmar Eisemann, Petr Kellnhofer
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
Jialin Chen, Rex Ying
Tempo Adaptation in Non-stationary Reinforcement Learning
Hyunin Lee, Yuhao Ding, Jongmin Lee et al.
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
Çağlar Hızlı, ST John, Anne Juuti et al.
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
Gehua Ma, Runhao Jiang, Rui Yan et al.
Temporal Continual Learning with Prior Compensation for Human Motion Prediction
Jianwei Tang, Jiangxin Sun, Xiaotong Lin et al.
Temporal Dynamic Quantization for Diffusion Models
Junhyuk So, Jungwon Lee, Daehyun Ahn et al.
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch et al.
Temporally Disentangled Representation Learning under Unknown Nonstationarity
Xiangchen Song, Weiran Yao, Yewen Fan et al.
Temporal Robustness against Data poisoning
Wenxiao Wang, Soheil Feizi
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials
Guillem Simeon, Gianni De Fabritiis
Tester-Learners for Halfspaces: Universal Algorithms
Aravind Gollakota, Adam Klivans, Konstantinos Stavropoulos et al.
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar et al.
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
Kanishk Jain, Shyamgopal Karthik, Vineet Gandhi
Test-Time Distribution Normalization for Contrastively Learned Visual-language Models
Yifei Zhou, Juntao Ren, Fengyu Li et al.
Test-time Training for Matching-based Video Object Segmentation
Juliette Bertrand, Giorgos Kordopatis Zilos, Yannis Kalantidis et al.
TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration
Xinrui Chen, Yizhi Wang, Renao YAN et al.
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks
Yuheng Zha, Yichi Yang, Ruichen Li et al.
TextDiffuser: Diffusion Models as Text Painters
Jingye Chen, Yupan Huang, Tengchao Lv et al.