Papers
1,399 papers found
Parallel tempering on optimized paths
Saifuddin Syed, Vittorio Romaniello, Trevor Campbell et al.
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
Pashootan Vaezipoor, Andrew C Li, Rodrigo A Toro Icarte et al.
Task-Optimal Exploration in Linear Dynamical Systems
Andrew J Wagenmaker, Max Simchowitz, Kevin Jamieson
Improving Generalization in Meta-learning via Task Augmentation
Huaxiu Yao, Long-Kai Huang, Linjun Zhang et al.
Active Multi-Task Representation Learning
Yifang Chen, Kevin Jamieson, Simon Du
Online Active Regression
Cheng Chen, Yi Li, Yiming Sun
Efficient Online ML API Selection for Multi-Label Classification Tasks
Lingjiao Chen, Matei Zaharia, James Zou
Task-aware Privacy Preservation for Multi-dimensional Data
Jiangnan Cheng, Ao Tang, Sandeep Chinchali
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
Runpei Dong, Zhanhong Tan, Mengdi Wu et al.
HyperPrompt: Prompt-based Task-Conditioning of Transformers
Yun He, Steven Zheng, Yi Tay et al.
Variational On-the-Fly Personalization
Jangho Kim, Jun-Tae Lee, Simyung Chang et al.
Multi-Task Learning as a Bargaining Game
Aviv Navon, Aviv Shamsian, Idan Achituve et al.
Thompson Sampling for Robust Transfer in Multi-Task Bandits
Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri
Online Decision Transformer
Qinqing Zheng, Amy Zhang, Aditya Grover
Human-Timescale Adaptation in an Open-Ended Task Space
Jakob Bauer, Kate Baumli, Feryal Behbahani et al.
On the Robustness of Text Vectorizers
Rémi Catellier, Samuel Vaiter, Damien Garreau
Multi-Task Off-Policy Learning from Bandit Feedback
Joey Hong, Branislav Kveton, Manzil Zaheer et al.
On Computing Optimal Tree Ensembles
Christian Komusiewicz, Pascal Kunz, Frank Sommer et al.
Multi-Task Differential Privacy Under Distribution Skew
Walid Krichene, Prateek Jain, Shuang Song et al.
A Picture of the Space of Typical Learnable Tasks
Rahul Ramesh, Jialin Mao, Itay Griniasty et al.
Active Ranking of Experts Based on their Performances in Many Tasks
El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier
Tuning Computer Vision Models With Task Rewards
André Susano Pinto, Alexander Kolesnikov, Yuge Shi et al.
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
Stone Tao, Xiaochen Li, Tongzhou Mu et al.
On the Power of Foundation Models
Yang Yuan
On Pitfalls of Test-Time Adaptation
Hao Zhao, Yuejiang Liu, Alexandre Alahi et al.