Papers
The ToMCAT Dataset
Adarsh Pyarelal, Eric Duong, Caleb Shibu et al.
The Transient Nature of Emergent In-Context Learning in Transformers
Aaditya Singh, Stephanie Chan, Ted Moskovitz et al.
The Tunnel Effect: Building Data Representations in Deep Neural Networks
Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani et al.
The Utility of “Even if” Semifactual Explanation to Optimise Positive Outcomes
Eoin Kenny, Weipeng Huang
The Waymo Open Sim Agents Challenge
Nico Montali, John Lambert, Paul Mougin et al.
Thin and deep Gaussian processes
Daniel Augusto de Souza, Alexander Nikitin, ST John et al.
Thinker: Learning to Plan and Act
Stephen Chung, Ivan Anokhin, David Krueger
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations
Chiyu Ma, Brandon Zhao, Chaofan Chen et al.
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
Shengran Hu, Jeff Clune
Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points
Valentino Delle Rose, Alexander Kozachinskiy, Cristobal Rojas et al.
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Jannik Kossen, Mark Collier, Basil Mustafa et al.
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
Lisha Chen, Heshan Fernando, Yiming Ying et al.
Thrust: Adaptively Propels Large Language Models with External Knowledge
Xinran Zhao, Hongming Zhang, Xiaoman Pan et al.
TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav, Derek Tam, Leshem Choshen et al.
Tight Bounds for Volumetric Spanners and Applications
Aditya Bhaskara, Sepideh Mahabadi, Ali Vakilian
Tight Risk Bounds for Gradient Descent on Separable Data
Matan Schliserman, Tomer Koren
Time-Independent Information-Theoretic Generalization Bounds for SGLD
Futoshi Futami, Masahiro Fujisawa
Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value
Jaeyeon Kim, Asuman Ozdaglar, Chanwoo Park et al.
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
Zekun Li, Shiyang Li, Xifeng Yan
Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings
Giovanni De Felice, John Goulermas, Vladimir Gusev
Time-uniform confidence bands for the CDF under nonstationarity
Paul Mineiro, Steven Howard
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Leon Klein, Andrew Foong, Tor Fjelde et al.
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
Rongkun Zheng, Lu Qi, Xi Chen et al.
TOA: Task-oriented Active VQA
xiaoying xing, Mingfu Liang, Ying Wu
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
Minsoo Kim, Sihwa Lee, Janghwan Lee et al.