Meta-Learning with Implicit Gradients

10 September 2019

Aravind Rajeswaran

Papers citing "Meta-Learning with Implicit Gradients"

21 / 521 papers shown

Title
Provable Representation Learning for Imitation Learning via Bi-level Optimization Sanjeev Arora S. Du Sham Kakade Yuping Luo Nikunj Saunshi 85 61 0 24 Feb 2020
Meta-learning for mixed linear regression Weihao Kong Raghav Somani Zhao Song Sham Kakade Sewoong Oh 80 67 0 20 Feb 2020
Structured Prediction for Conditional Meta-Learning Ruohan Wang Y. Demiris C. Ciliberto CLL 70 6 0 20 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 103 50 0 18 Feb 2020
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning Alireza Fallah Kristian Georgiev Aryan Mokhtari Asuman Ozdaglar 136 23 0 12 Feb 2020
On Parameter Tuning in Meta-learning for Computer Vision F. Mohammadi M. Amini H. Arabnia 48 13 0 11 Feb 2020
Bayesian Meta-Prior Learning Using Empirical Bayes Sareh Nabi Houssam Nassif Joseph Hong H. Mamani Guido Imbens 69 19 0 04 Feb 2020
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction Vlad Niculae André F. T. Martins TPM 103 19 0 13 Jan 2020
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 73 10 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 39 18 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 96 58 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 80 10 0 03 Dec 2019
Penalty Method for Inversion-Free Deep Bilevel Optimization Akshay Mehra Jihun Hamm 152 46 0 08 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 139 417 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 84 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 95 160 0 03 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 131 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 112 35 0 12 Sep 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 143 225 0 27 Aug 2019
Meta Architecture Search Albert Eaton Shaw Wei Wei Weiyang Liu Le Song Bo Dai BDL 73 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 74 24 0 11 Dec 2018