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"

23 / 23 papers shown

Title
Provable Meta-Learning of Linear Representations Nilesh Tripuraneni Chi Jin Michael I. Jordan OOD 93 190 0 26 Feb 2020
Structured Prediction for Conditional Meta-Learning Ruohan Wang Y. Demiris C. Ciliberto CLL 25 6 0 20 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 75 49 0 18 Feb 2020
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings C. Ciliberto Lorenzo Rosasco Alessandro Rudi 98 51 0 13 Feb 2020
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 76 218 0 30 Oct 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 63 226 0 27 Aug 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 54 355 0 06 Jun 2019
Hierarchically Structured Meta-learning Huaxiu Yao Ying Wei Junzhou Huang Z. Li 58 203 0 13 May 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization Giulia Denevi C. Ciliberto Riccardo Grazzi Massimiliano Pontil 64 109 0 25 Mar 2019
Provable Guarantees for Gradient-Based Meta-Learning M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 120 149 0 27 Feb 2019
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 53 756 0 08 Oct 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 117 1,366 0 16 Jul 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 203 2,226 0 08 Mar 2018
Black-Box Reductions for Parameter-free Online Learning in Banach Spaces Ashok Cutkosky Francesco Orabona 72 145 0 17 Feb 2018
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm Chelsea Finn Sergey Levine SSL 71 222 0 31 Oct 2017
Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information T. Tony Cai Tengyuan Liang Alexander Rakhlin 41 9 0 12 Sep 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 763 11,793 0 09 Mar 2017
Coin Betting and Parameter-Free Online Learning Francesco Orabona D. Pál 102 165 0 12 Feb 2016
New Perspectives on k-Support and Cluster Norms Andrew M. McDonald Massimiliano Pontil Dimitris Stamos 79 58 0 06 Mar 2014
A PAC-Bayesian bound for Lifelong Learning Anastasia Pentina Christoph H. Lampert CLL 60 210 0 12 Nov 2013
A Model of Inductive Bias Learning Jonathan Baxter 100 1,210 0 01 Jun 2011
Clustered Multi-Task Learning: A Convex Formulation Laurent Jacob Francis R. Bach Jean-Philippe Vert 106 509 0 11 Sep 2008
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization Jacob D. Abernethy Francis R. Bach Theodoros Evgeniou Jean-Philippe Vert 164 261 0 11 Feb 2008