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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
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics J. Baar Alan Sullivan Radu Cordorel Devesh K. Jha Diego Romeres D. Nikovski 116 57 0 13 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 57 37 0 10 Sep 2018
Learning Invariances for Policy Generalization Rémi Tachet des Combes Philip Bachman H. V. Seijen 83 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 238 2,467 0 06 Sep 2018
Deep Bilevel Learning Simon Jenni Paolo Favaro NoLa 74 115 0 05 Sep 2018
One-Shot Relational Learning for Knowledge Graphs Wenhan Xiong Mo Yu Shiyu Chang Xiaoxiao Guo William Yang Wang 116 220 0 27 Aug 2018
Meta-Learning for Low-Resource Neural Machine Translation Jiatao Gu Yong Wang Yun Chen Kyunghyun Cho Victor O.K. Li 93 343 0 25 Aug 2018
Transfer Learning for Estimating Causal Effects using Neural Networks Sören R. Künzel Bradly C. Stadie N. Vemuri V. Ramakrishnan Jasjeet Sekhon Pieter Abbeel CML 49 32 0 23 Aug 2018
Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu Alexei A. Efros Stella X. Yu BDL 62 146 0 14 Aug 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 108 72 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 122 50 0 01 Aug 2018
On-line Adaptative Curriculum Learning for GANs T. Doan João Monteiro Isabela Albuquerque Bogdan Mazoure A. Durand Joelle Pineau R. Devon Hjelm 124 42 0 31 Jul 2018
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data Yabin Zhang Hui Tang Kui Jia 111 95 0 28 Jul 2018
Few Shot Learning with Simplex Bowen Zhang Xifan Zhang Fan Cheng Deli Zhao 19 1 0 27 Jul 2018
Meta-learning autoencoders for few-shot prediction Tailin Wu J. Peurifoy Isaac L. Chuang Max Tegmark 47 22 0 26 Jul 2018
Learning Plannable Representations with Causal InfoGAN Thanard Kurutach Aviv Tamar Ge Yang Stuart J. Russell Pieter Abbeel GAN DRL 82 181 0 24 Jul 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 88 68 0 24 Jul 2018
Meta-Learning Priors for Efficient Online Bayesian Regression James Harrison Apoorva Sharma Marco Pavone BDL 84 102 0 24 Jul 2018
General Value Function Networks M. Schlegel Andrew Jacobsen Zaheer Abbas Andrew Patterson Adam White Martha White 69 30 0 18 Jul 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 168 1,374 0 16 Jul 2018
Metalearning with Hebbian Fast Weights Tsendsuren Munkhdalai Adam Trischler VLM FedML 75 37 0 12 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 85 70 0 12 Jul 2018
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration De-An Huang Suraj Nair Danfei Xu Yuke Zhu Animesh Garg Li Fei-Fei Silvio Savarese Juan Carlos Niebles 98 140 0 10 Jul 2018
Large Margin Few-Shot Learning Yong Wang Xiao-Ming Wu Qimai Li Jiatao Gu Wangmeng Xiang Lei Zhang Victor O.K. Li MQ 90 29 0 08 Jul 2018
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning I. Laradji Reza Babanezhad 64 40 0 06 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 103 155 0 06 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 98 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 113 517 0 04 Jul 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 94 708 0 04 Jul 2018
Modular meta-learning Ferran Alet Tomás Lozano-Pérez L. Kaelbling OffRL 78 123 0 26 Jun 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 214 4,380 0 24 Jun 2018
The Natural Language Decathlon: Multitask Learning as Question Answering Bryan McCann N. Keskar Caiming Xiong R. Socher AIMat MLLM BDL 161 647 0 20 Jun 2018
Uncertainty in Multitask Transfer Learning Alexandre Lacoste Boris N. Oreshkin Wonchang Chung Thomas Boquet Negar Rostamzadeh David M. Krueger BDL UQCV SSL 105 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 42 2 0 13 Jun 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 187 732 0 13 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 255 357 0 12 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 145 320 0 12 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 136 107 0 12 Jun 2018
Meta-Learning for Stochastic Gradient MCMC Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato BDL 113 44 0 12 Jun 2018
PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments Anirudha Majumdar M. Goldstein Anoopkumar Sonar 104 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 309 504 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 73 39 0 11 Jun 2018
Adversarial Meta-Learning Chengxiang Yin Jian Tang Zhiyuan Xu Yanzhi Wang 95 42 0 08 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 310 674 0 07 Jun 2018
Meta-Learning by the Baldwin Effect Chrisantha Fernando Jakub Sygnowski Simon Osindero Jane X. Wang Tom Schaul Denis Teplyashin Pablo Sprechmann Alexander Pritzel Andrei A. Rusu 87 39 0 06 Jun 2018
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Ingyo Chung Saehoon Kim Juho Lee Kwang Joon Kim Sung Ju Hwang Eunho Yang BDL FedML 82 16 0 05 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 888 3,129 0 04 Jun 2018
Meta-Learner with Linear Nulling Sung Whan Yoon Jun Seo Jaekyun Moon 31 1 0 04 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 111 65 0 31 May 2018
Training Medical Image Analysis Systems like Radiologists Gabriel Maicas A. Bradley Jacinto C. Nascimento Ian Reid G. Carneiro 79 55 0 28 May 2018