A Sample Complexity Separation between Non-Convex and Convex Meta-Learning

25 February 2020

Papers citing "A Sample Complexity Separation between Non-Convex and Convex Meta-Learning"

7 / 7 papers shown

Title
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 44 1 0 12 Oct 2024
Meta-Learning Adversarial Bandit Algorithms M. Khodak Ilya Osadchiy Keegan Harris Maria-Florina Balcan Kfir Y. Levy Ron Meir Zhiwei Steven Wu FedML 28 2 0 05 Jul 2023
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Bo-wen Li 37 88 0 16 Jun 2021
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent Mehdi Abbana Bennani Thang Doan Masashi Sugiyama CLL 50 61 0 21 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression Arun Venkitaraman Anders Hansson B. Wahlberg 31 8 0 12 Jun 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 194 640 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 457 11,715 0 09 Mar 2017