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
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 38 135 0 08 Oct 2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huatian Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric Xing 32 30 0 04 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 37 229 0 04 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 20 638 0 03 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 23 274 0 01 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie Avi Singh Sergey Levine Chelsea Finn OffRL 40 71 0 30 Sep 2018
M $^3$ RL: Mind-aware Multi-agent Management Reinforcement Learning Tianmin Shu Yuandong Tian 25 53 0 29 Sep 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 30 204 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
Learning Quickly to Plan Quickly Using Modular Meta-Learning Rohan Chitnis L. Kaelbling Tomás Lozano-Pérez 22 26 0 20 Sep 2018
Open-world Learning and Application to Product Classification Hu Xu Bing-Quan Liu Lei Shu P. Yu CLL VLM 35 110 0 17 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 30 225 0 14 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 25 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 77 2,427 0 06 Sep 2018
Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu Alexei A. Efros Stella X. Yu BDL 22 144 0 14 Aug 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 29 71 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 30 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
Meta-Learning Priors for Efficient Online Bayesian Regression James Harrison Apoorva Sharma Marco Pavone BDL 22 99 0 24 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 26 68 0 12 Jul 2018
Large Margin Few-Shot Learning Yong Wang Xiao-Ming Wu Qimai Li Jiatao Gu Wangmeng Xiang Lei Zhang V. Li MQ 37 29 0 08 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 95 0 06 Jul 2018
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 19 506 0 04 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
RepMet: Representative-based metric learning for classification and one-shot object detection Leonid Karlinsky J. Shtok Sivan Harary Eli Schwartz Mattias Marder Rogerio Feris Raja Giryes A. Bronstein VLM ObjD 20 318 0 12 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 38 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
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 231 500 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 33 39 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 178 666 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 121 3,087 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 53 324 0 24 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 56 1,303 0 23 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 91 1,311 0 23 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning Adam Gleave Oliver Habryka 32 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
Adapted Deep Embeddings: A Synthesis of Methods for $k$ -Shot Inductive Transfer Learning Tyler R. Scott Karl Ridgeway Michael C. Mozer 24 84 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