Probabilistic Active Meta-Learning

17 July 2020

Papers citing "Probabilistic Active Meta-Learning"

20 / 20 papers shown

Title
Data-Efficient and Robust Task Selection for Meta-Learning Donglin Zhan James Anderson OOD 27 2 0 11 May 2024
Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning Tidiane Camaret Ndir André Biedenkapp Noor H. Awad OffRL 38 1 0 15 Apr 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 35 1 0 13 Feb 2024
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae Jing Wang Danica J. Sutherland 39 1 0 06 Nov 2023
The MiniPile Challenge for Data-Efficient Language Models Jean Kaddour MoE ALM 24 40 0 17 Apr 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 189 30 0 09 Mar 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 34 121 0 19 Jan 2023
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios Ngoc Dang Nguyen Lan Du Wray L. Buntine Changyou Chen Richard Beare 23 7 0 11 Nov 2022
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection Stefano B. Blumberg Paddy J. Slator Daniel C. Alexander 37 1 0 13 Oct 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning Deepshikha Pandey Qi Yu UQCV 11 10 0 23 Mar 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 26 75 0 07 Feb 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 11 58 0 01 Feb 2022
Meta-learning with an Adaptive Task Scheduler Huaxiu Yao Yu-Xiang Wang Ying Wei P. Zhao M. Mahdavi Defu Lian Chelsea Finn OOD 24 45 0 26 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 23 12 0 02 Aug 2021
Learning to Transfer: A Foliated Theory Janith C. Petangoda M. Deisenroth N. Monk 15 0 0 22 Jul 2021
Probabilistic task modelling for meta-learning Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 15 5 0 09 Jun 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture Suyoung Lee Sae-Young Chung OffRL AI4CE 8 16 0 28 May 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 24 41 0 05 Mar 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017