Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017

Pieter Abbeel

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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Title
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 20 636 0 03 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 37 71 0 30 Sep 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 20 53 0 29 Sep 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 25 203 0 29 Sep 2018
Sample Efficient Adaptive Text-to-Speech Yutian Chen Yannis Assael Brendan Shillingford David Budden Scott E. Reed ... Ben Laurie Çağlar Gülçehre Aaron van den Oord Oriol Vinyals Nando de Freitas 35 149 0 27 Sep 2018
Open-world Learning and Application to Product Classification Hu Xu Bing-Quan Liu Lei Shu P. Yu CLL VLM 32 110 0 17 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 21 224 0 14 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 19 37 0 10 Sep 2018
Learning Invariances for Policy Generalization Rémi Tachet des Combes Philip Bachman H. V. Seijen 20 12 0 07 Sep 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 72 2,420 0 06 Sep 2018
Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu Alexei A. Efros Stella X. Yu BDL 22 143 0 14 Aug 2018
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data Carola Figueroa Flores Abel Gonzalez-Garcia Joost van de Weijer Bogdan Raducanu 19 50 0 01 Aug 2018
The Variational Homoencoder: Learning to learn high capacity generative models from few examples Luke B. Hewitt Maxwell Nye Andreea Gane Tommi Jaakkola J. Tenenbaum BDL DRL GAN 31 68 0 24 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 26 68 0 12 Jul 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 41 94 0 06 Jul 2018
Uncertainty in Multitask Transfer Learning Alexandre Lacoste Boris N. Oreshkin Wonchang Chung Thomas Boquet Negar Rostamzadeh David M. Krueger BDL UQCV SSL 24 21 0 20 Jun 2018
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning Luca Franceschi Riccardo Grazzi Massimiliano Pontil Saverio Salzo P. Frasconi 17 2 0 13 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
Meta-Learning for Stochastic Gradient MCMC Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato BDL 33 44 0 12 Jun 2018
PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments Anirudha Majumdar M. Goldstein Anoopkumar Sonar 23 18 0 11 Jun 2018
Auto-Meta: Automated Gradient Based Meta Learner Search Jaehong Kim Sangyeul Lee Sungwan Kim Moonsu Cha Jung Kwon Lee Youngduck Choi Yongseok Choi Dong-Yeon Cho Jiwon Kim AI4CE 27 39 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 109 3,080 0 04 Jun 2018
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification Xiang Jiang Mohammad Havaei Gabriel Chartrand Hassan Chouaib Thomas Vincent Andrew Jesson Nicolas Chapados Stan Matwin VLM 14 18 0 03 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 27 66 0 31 May 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning Supratik Paul Michael A. Osborne Shimon Whiteson 32 18 0 27 May 2018
Few-Shot Segmentation Propagation with Guided Networks Kate Rakelly Evan Shelhamer Trevor Darrell Alexei A. Efros Sergey Levine 37 118 0 25 May 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 22 666 0 25 May 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 45 263 0 24 May 2018
Meta-Gradient Reinforcement Learning Zhongwen Xu H. V. Hasselt David Silver 38 324 0 24 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 91 1,309 0 23 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning Adam Gleave Oliver Habryka 30 39 0 22 May 2018
Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training Boyu Chen Wenlian Lu Ernest Fokoue 21 1 0 22 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 52 456 0 20 May 2018
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning Shiyin Wei Xiaowei Jin Hui Li AI4CE 39 39 0 13 May 2018
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples Xiu-Shen Wei Peng Wang Lingqiao Liu Chunhua Shen Jianxin Wu 27 124 0 11 May 2018
Towards a universal neural network encoder for time series Joan Serrà Santiago Pascual Alexandros Karatzoglou AI4TS 32 119 0 10 May 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
Reinforced Co-Training Jiawei Wu Lei Li William Yang Wang OffRL 22 51 0 17 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 15 177 0 10 Apr 2018
Fast Parametric Learning with Activation Memorization Jack W. Rae Chris Dyer Peter Dayan Timothy Lillicrap KELM 41 46 0 27 Mar 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 63 1,410 0 24 Mar 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 20 142 0 20 Mar 2018
Cross-domain Recommendation via Deep Domain Adaptation Heishiro Kanagawa Hayato Kobayashi N. Shimizu Yukihiro Tagami Taiji Suzuki 27 92 0 08 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 64 2,214 0 08 Mar 2018
Stochastic Hyperparameter Optimization through Hypernetworks Jonathan Lorraine David Duvenaud 41 139 0 26 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 34 388 0 22 Feb 2018
Universal Neural Machine Translation for Extremely Low Resource Languages Jiatao Gu Hany Hassan Jacob Devlin V. Li 26 274 0 15 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 49 227 0 13 Feb 2018