The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning

25 August 2020

Papers citing "The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning"

12 / 12 papers shown

Title
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds Aoran Chen Yang Feng 22 0 0 05 May 2025
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 69 0 10 Jul 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 20 8 0 23 Feb 2023
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Joey Tianyi Zhou DD FedML 16 28 0 29 Sep 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda P. Yu Yu-xiong Wang Oluwasanmi Koyejo 15 10 0 02 Aug 2022
Provable Lifelong Learning of Representations Xinyuan Cao Weiyang Liu Santosh Vempala CLL 14 13 0 27 Oct 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 21 16 0 09 Aug 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 14 19 0 23 Jul 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 38 8 0 05 Jun 2021
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization Sharu Theresa Jose Osvaldo Simeone G. Durisi 16 17 0 04 Nov 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
New Perspectives on k-Support and Cluster Norms Andrew M. McDonald Massimiliano Pontil Dimitris Stamos 47 57 0 06 Mar 2014