Meta-Learning: A Survey

8 October 2018

Papers citing "Meta-Learning: A Survey"

25 / 125 papers shown

Title
IntelligentPooling: Practical Thompson Sampling for mHealth Sabina Tomkins Peng Liao P. Klasnja S. Murphy 34 30 0 31 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 34 3 0 17 Jul 2020
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner Eugene Lee E. Chen Chen-Yi Lee 16 159 0 14 Jul 2020
Online Parameter-Free Learning of Multiple Low Variance Tasks Giulia Denevi Dimitris Stamos Massimiliano Pontil 8 0 0 11 Jul 2020
Solving Constrained CASH Problems with ADMM Parikshit Ram Sijia Liu Deepak Vijaykeerthi Dakuo Wang Djallel Bouneffouf Gregory Bramble Horst Samulowitz Alexander G. Gray 26 3 0 17 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters Kaiyi Ji J. Lee Yingbin Liang H. Vincent Poor 23 74 0 16 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 49 83 0 10 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller 32 7 0 05 Jun 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments Sindhu Padakandla 20 144 0 19 May 2020
Optimizing for the Future in Non-Stationary MDPs Yash Chandak Georgios Theocharous Shiv Shankar Martha White Sridhar Mahadevan Philip S. Thomas OffRL 11 65 0 17 May 2020
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment Hancheng Zhu Leida Li Jinjian Wu W. Dong Guangming Shi 46 274 0 11 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 46 1,928 0 11 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation Da Li Timothy M. Hospedales 22 102 0 09 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 31 20 0 29 Mar 2020
A Close Look at Deep Learning with Small Data Lorenzo Brigato Luca Iocchi 24 139 0 28 Mar 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization Sanjeev Arora S. Du Sham Kakade Yuping Luo Nikunj Saunshi 18 60 0 24 Feb 2020
Cross-subject Decoding of Eye Movement Goals from Local Field Potentials Marko Angjelichinoski John S. Choi T. Banerjee Bijan Pesaran Vahid Tarokh 13 7 0 08 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 53 1,126 0 24 Oct 2019
How can AI Automate End-to-End Data Science? Charu C. Aggarwal Djallel Bouneffouf Horst Samulowitz Beat Buesser T. Hoang ... Tejaswini Pedapati Parikshit Ram Ambrish Rawat Martin Wistuba Alexander G. Gray 88 14 0 22 Oct 2019
Differentially Private Meta-Learning Jeffrey Li M. Khodak S. Caldas Ameet Talwalkar FedML 35 106 0 12 Sep 2019
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises F. Mohammadi M. Amini H. Arabnia OffRL 26 22 0 26 Aug 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Dylan Slack Sorelle A. Friedler Emile Givental FaML 32 54 0 24 Aug 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 25 86 0 26 Apr 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization Giulia Denevi C. Ciliberto Riccardo Grazzi Massimiliano Pontil 20 108 0 25 Mar 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017