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

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

9 March 2017
Chelsea Finn
Pieter Abbeel
Sergey Levine
    OOD
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Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

21 / 2,271 papers shown
Title
Universal Neural Machine Translation for Extremely Low Resource
  Languages
Universal Neural Machine Translation for Extremely Low Resource Languages
Jiatao Gu
Hany Hassan
Jacob Devlin
V. Li
35
275
0
15 Feb 2018
Evolved Policy Gradients
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
Progressive Reinforcement Learning with Distillation for Multi-Skilled
  Motion Control
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
Glen Berseth
Kevin Xie
Paul Cernek
M. van de Panne
29
56
0
13 Feb 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Nathan Hilliard
Lawrence Phillips
Scott Howland
A. Yankov
Court D. Corley
Nathan Oken Hodas
SSL
39
158
0
12 Feb 2018
State Representation Learning for Control: An Overview
State Representation Learning for Control: An Overview
Timothée Lesort
Natalia Díaz Rodríguez
Jean-François Goudou
David Filliat
OffRL
45
319
0
12 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant
Chelsea Finn
Sergey Levine
Trevor Darrell
Thomas Griffiths
BDL
26
505
0
26 Jan 2018
Feature Space Transfer for Data Augmentation
Feature Space Transfer for Data Augmentation
Bo Liu
Xudong Wang
Mandar Dixit
Roland Kwitt
Nuno Vasconcelos
CVBM
32
93
0
13 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment
Building Generalizable Agents with a Realistic and Rich 3D Environment
Yi Wu
Yuxin Wu
Georgia Gkioxari
Yuandong Tian
3DV
67
338
0
07 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai
Xingdi Yuan
Soroush Mehri
Adam Trischler
21
13
0
28 Dec 2017
A Bridge Between Hyperparameter Optimization and Learning-to-learn
A Bridge Between Hyperparameter Optimization and Learning-to-learn
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
35
20
0
18 Dec 2017
Domain Generalization by Marginal Transfer Learning
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
OOD
43
277
0
21 Nov 2017
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
110
4,019
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
54
1,230
0
10 Nov 2017
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Ron Amit
Ron Meir
BDL
MLT
37
176
0
03 Nov 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot
V. Zambaldi
A. Gruslys
Angeliki Lazaridou
K. Tuyls
Julien Perolat
David Silver
T. Graepel
50
628
0
02 Nov 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn
  Distributions
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
41
88
0
27 Oct 2017
Recent Advances in Zero-shot Recognition
Recent Advances in Zero-shot Recognition
Yanwei Fu
Tao Xiang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
S. Gong
BDL
VLM
21
175
0
13 Oct 2017
Deeper, Broader and Artier Domain Generalization
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
59
1,417
0
09 Oct 2017
One-Shot Visual Imitation Learning via Meta-Learning
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn
Tianhe Yu
Tianhao Zhang
Pieter Abbeel
Sergey Levine
SSL
52
555
0
14 Sep 2017
Few-Shot Image Recognition by Predicting Parameters from Activations
Few-Shot Image Recognition by Predicting Parameters from Activations
Siyuan Qiao
Chenxi Liu
Wei Shen
Alan Yuille
VLM
26
553
0
12 Jun 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
81
8,012
0
15 Mar 2017
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