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"

43 / 1,593 papers shown

Title
Learning Invariances for Policy Generalization Rémi Tachet des Combes Philip Bachman H. V. Seijen 10 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 65 2,417 0 06 Sep 2018
Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu Alexei A. Efros Stella X. Yu BDL 14 143 0 14 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 20 68 0 24 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 21 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 17 154 0 06 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments Hongzi Mao S. Venkatakrishnan Malte Schwarzkopf Mohammad Alizadeh OffRL 27 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 17 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 9 2 0 13 Jun 2018
Meta-Learning for Stochastic Gradient MCMC Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato BDL 18 44 0 12 Jun 2018
PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments Anirudha Majumdar M. Goldstein Anoopkumar Sonar 13 18 0 11 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 91 3,077 0 04 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 22 66 0 31 May 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning Supratik Paul Michael A. Osborne Shimon Whiteson 16 18 0 27 May 2018
Few-Shot Segmentation Propagation with Guided Networks Kate Rakelly Evan Shelhamer Trevor Darrell Alexei A. Efros Sergey Levine 27 118 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 S. Hwang Yi Yang 20 665 0 25 May 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard E. Turner BDL 37 263 0 24 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 50 1,308 0 23 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning Adam Gleave Oliver Habryka 19 39 0 22 May 2018
Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training Boyu Chen Wenlian Lu Ernest Fokoue 16 1 0 22 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 10 456 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 20 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 11 124 0 11 May 2018
Towards a universal neural network encoder for time series Joan Serra Santiago Pascual Alexandros Karatzoglou AI4TS 17 119 0 10 May 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 11 177 0 10 Apr 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 8 1,410 0 24 Mar 2018
Meta Reinforcement Learning with Latent Variable Gaussian Processes Steindór Sæmundsson Katja Hofmann M. Deisenroth BDL OffRL AI4CE 6 142 0 20 Mar 2018
Cross-domain Recommendation via Deep Domain Adaptation Heishiro Kanagawa Hayato Kobayashi N. Shimizu Yukihiro Tagami Taiji Suzuki 15 92 0 08 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 17 2,213 0 08 Mar 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 27 388 0 22 Feb 2018
Universal Neural Machine Translation for Extremely Low Resource Languages Jiatao Gu Hany Hassan Jacob Devlin V. Li 21 273 0 15 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 23 227 0 13 Feb 2018
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control Glen Berseth Kevin Xie Paul Cernek M. van de Panne 19 56 0 13 Feb 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings Nathan Hilliard Lawrence Phillips Scott Howland A. Yankov Court D. Corley Nathan Oken Hodas SSL 23 158 0 12 Feb 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 48 338 0 07 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri Adam Trischler 19 13 0 28 Dec 2017
A Bridge Between Hyperparameter Optimization and Learning-to-learn Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 19 20 0 18 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip H. S. Torr Timothy M. Hospedales 39 4,013 0 16 Nov 2017
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory Ron Amit Ron Meir BDL MLT 19 173 0 03 Nov 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions Scott E. Reed Yutian Chen T. Paine Aaron van den Oord S. M. Ali Eslami Danilo Jimenez Rezende Oriol Vinyals Nando de Freitas 36 88 0 27 Oct 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 19 1,410 0 09 Oct 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 24 553 0 12 Jun 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 34 7,994 0 15 Mar 2017