Meta-Learning with Implicit Gradients

Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

18 / 518 papers shown

Title
Bayesian Meta-Prior Learning Using Empirical Bayes Sareh Nabi Houssam Nassif Joseph Hong H. Mamani Guido Imbens 16 18 0 04 Feb 2020
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction Vlad Niculae André F. T. Martins TPM 15 19 0 13 Jan 2020
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 24 9 0 22 Dec 2019
Attention network forecasts time-to-failure in laboratory shear experiments H. Jasperson D. C. Bolton P. Johnson R. Guyer C. Marone Maarten V. de Hoop 11 17 0 12 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop Michael R. Kellman Jonathan I. Tamir E. Bostan Michael Lustig Laura Waller SupR 29 56 0 11 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication) Marek Rosa O. Afanasjeva Simon Andersson Joseph Davidson N. Guttenberg Petr Hlubucek Martin Poliak Jaroslav Vítků Jan Feyereisl 22 10 0 03 Dec 2019
Penalty Method for Inversion-Free Deep Bilevel Optimization Akshay Mehra Jihun Hamm 24 46 0 08 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 27 403 0 06 Nov 2019
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Massimiliano Patacchiola Jack Turner Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey BDL 21 19 0 11 Oct 2019
Generalized Inner Loop Meta-Learning Jaya Kumar Alageshan Brandon Amos A. Verma Phu Mon Htut Artem Molchanov Franziska Meier Douwe Kiela Kyunghyun Cho Soumith Chintala AI4CE 33 159 0 03 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 29 54 0 27 Sep 2019
Modular Meta-Learning with Shrinkage Yutian Chen A. Friesen Feryal M. P. Behbahani Arnaud Doucet David Budden Matthew W. Hoffman Nando de Freitas KELM OffRL 23 35 0 12 Sep 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 33 226 0 27 Aug 2019
Meta Architecture Search Albert Eaton Shaw Wei Wei Weiyang Liu Le Song Bo Dai BDL 23 35 0 22 Dec 2018
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning Yunxiao Qin Weiguo Zhang Chenxu Zhao Zezheng Wang Xiangyu Zhu Guojun Qi Jingping Shi Zhen Lei 33 24 0 11 Dec 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 398 11,700 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 133 409 0 06 Mar 2017