Papers
Taming graph kernels with random features
Krzysztof Marcin Choromanski
TAN Without a Burn: Scaling Laws of DP-SGD
Tom Sander, Pierre Stock, Alexandre Sablayrolles
Target-Aware Generative Augmentations for Single-Shot Adaptation
Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga et al.
Target-based Surrogates for Stochastic Optimization
Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh et al.
Task-specific experimental design for treatment effect estimation
Bethany Connolly, Kim Moore, Tobias Schwedes et al.
Task-Specific Skill Localization in Fine-tuned Language Models
Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao et al.
Taxonomy-Structured Domain Adaptation
Tianyi Liu, Zihao Xu, Hao He et al.
Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
Temporal Label Smoothing for Early Event Prediction
Hugo Yèche, Alizée Pace, Gunnar Ratsch et al.
Temporally Consistent Transformers for Video Generation
Wilson Yan, Danijar Hafner, Stephen James et al.
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems
Ainesh Bakshi, Allen Liu, Ankur Moitra et al.
Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis
Hu Sun, Ward Manchester, Meng Jin et al.
Test-time Adaptation with Slot-Centric Models
Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul et al.
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
Jungwuk Park, Dong-Jun Han, Soyeong Kim et al.
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
Zhenghao Lin, Yeyun Gong, Yelong Shen et al.
Text-To-4D Dynamic Scene Generation
Uriel Singer, Shelly Sheynin, Adam Polyak et al.
Text-To-Concept (and Back) via Cross-Model Alignment
Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi et al.
TGRL: An Algorithm for Teacher Guided Reinforcement Learning
Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar et al.
The Acquisition of Physical Knowledge in Generative Neural Networks
Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
The Benefits of Mixup for Feature Learning
Difan Zou, Yuan Cao, Yuanzhi Li et al.
The Benefits of Model-Based Generalization in Reinforcement Learning
Kenny John Young, Aditya Ramesh, Louis Kirsch et al.
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
Jiin Woo, Gauri Joshi, Yuejie Chi
The case for 4-bit precision: k-bit Inference Scaling Laws
Tim Dettmers, Luke Zettlemoyer
The Catalog Problem: Clustering and Ordering Variable-Sized Sets
Mateusz Maria Jurewicz, Graham W. Taylor, Leon Derczynski
The Computational Complexity of Concise Hypersphere Classification
Eduard Eiben, Robert Ganian, Iyad A. Kanj et al.