On the Subspace Structure of Gradient-Based Meta-Learning

On the Subspace Structure of Gradient-Based Meta-Learning

8 July 2022

Alfredo Reichlin

Mårten Björkman

Danica Kragic

Papers citing "On the Subspace Structure of Gradient-Based Meta-Learning"

8 / 8 papers shown

Title
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 231 271 0 18 Apr 2021
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 48 87 0 20 Feb 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 300 644 0 19 Sep 2019
Meta-Learning with Warped Gradient Descent Sebastian Flennerhag Andrei A. Rusu Razvan Pascanu Francesco Visin Hujun Yin R. Hadsell 78 210 0 30 Aug 2019
Meta-Curvature Eunbyung Park Junier B. Oliva BDL 52 124 0 09 Feb 2019
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 97 1,421 0 10 Oct 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 365 7,321 0 13 Jun 2016