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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
v1v2v3 (latest)

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"

50 / 5,503 papers shown
Title
Unicorn: Continual Learning with a Universal, Off-policy Agent
Unicorn: Continual Learning with a Universal, Off-policy Agent
D. Mankowitz
Augustin Žídek
André Barreto
Dan Horgan
Matteo Hessel
John Quan
Junhyuk Oh
H. V. Hasselt
David Silver
Tom Schaul
CLLOffRL
70
48
0
22 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient
  Communication
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
83
398
0
22 Feb 2018
Meta-Reinforcement Learning of Structured Exploration Strategies
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta
Russell Mendonca
YuXuan Liu
Pieter Abbeel
Sergey Levine
OffRL
121
349
0
20 Feb 2018
Universal Neural Machine Translation for Extremely Low Resource
  Languages
Universal Neural Machine Translation for Extremely Low Resource Languages
Jiatao Gu
Hany Hassan
Jacob Devlin
Victor O.K. Li
101
278
0
15 Feb 2018
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
Jakob N. Foerster
Gregory Farquhar
Maruan Al-Shedivat
Tim Rocktaschel
Eric Xing
Shimon Whiteson
120
97
0
14 Feb 2018
Evolved Policy Gradients
Evolved Policy Gradients
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
105
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
87
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
85
159
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
114
321
0
12 Feb 2018
Answerer in Questioner's Mind: Information Theoretic Approach to
  Goal-Oriented Visual Dialog
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
Sang-Woo Lee
Y. Heo
Byoung-Tak Zhang
75
31
0
12 Feb 2018
Deep Meta-Learning: Learning to Learn in the Concept Space
Deep Meta-Learning: Learning to Learn in the Concept Space
Fengwei Zhou
Bin Wu
Zhenguo Li
SSL
81
123
0
10 Feb 2018
Local Contrast Learning
Local Contrast Learning
Chuanyun Xu
Yang Zhang
Xin Feng
Yongxin Ge
Yihao Zhang
Jianwu Long
33
0
0
10 Feb 2018
Recent Advances in Neural Program Synthesis
Recent Advances in Neural Program Synthesis
Neel Kant
NAI
106
37
0
07 Feb 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive
  Meta-Learning
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Tianhe Yu
Chelsea Finn
Annie Xie
Sudeep Dasari
Tianhao Zhang
Pieter Abbeel
Sergey Levine
82
361
0
05 Feb 2018
Efficient Video Object Segmentation via Network Modulation
Efficient Video Object Segmentation via Network Modulation
L. Yang
Yanran Wang
Xuehan Xiong
Jianchao Yang
Aggelos K. Katsaggelos
VOS
97
350
0
04 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
102
510
0
26 Jan 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
Yoonho Lee
Seungjin Choi
66
27
0
17 Jan 2018
Low-Shot Learning from Imaginary Data
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
149
677
0
16 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
95
95
0
13 Jan 2018
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object
  Trackers
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers
Eunbyung Park
Alexander C. Berg
VOTTTA
106
167
0
09 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
142
339
0
07 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai
Xingdi Yuan
Soroush Mehri
Adam Trischler
58
13
0
28 Dec 2017
Deep Meta Learning for Real-Time Target-Aware Visual Tracking
Deep Meta Learning for Real-Time Target-Aware Visual Tracking
Janghoon Choi
Junseok Kwon
Kyoung Mu Lee
91
10
0
26 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
92
20
0
18 Dec 2017
Deep Prior
Deep Prior
Alexandre Lacoste
Thomas Boquet
Negar Rostamzadeh
Boris N. Oreshkin
Wonchang Chung
David M. Krueger
SSLUQCVVLMOODBDL
59
7
0
13 Dec 2017
Learning to Learn from Weak Supervision by Full Supervision
Learning to Learn from Weak Supervision by Full Supervision
Mostafa Dehghani
Aliaksei Severyn
S. Rothe
J. Kamps
NoLa
87
57
0
30 Nov 2017
Semi-Supervised and Active Few-Shot Learning with Prototypical Networks
Semi-Supervised and Active Few-Shot Learning with Prototypical Networks
Rinu Boney
Alexander Ilin
VLM
83
27
0
29 Nov 2017
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELMCLL
90
1,654
0
27 Nov 2017
Domain Generalization by Marginal Transfer Learning
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
OOD
102
286
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
452
4,063
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
188
1,241
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
BDLMLT
73
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
147
639
0
02 Nov 2017
Learning with Latent Language
Learning with Latent Language
Jacob Andreas
Dan Klein
Sergey Levine
108
136
0
01 Nov 2017
Meta-Learning and Universality: Deep Representations and Gradient
  Descent can Approximate any Learning Algorithm
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
Chelsea Finn
Sergey Levine
SSL
133
223
0
31 Oct 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
123
88
0
27 Oct 2017
Meta Learning Shared Hierarchies
Meta Learning Shared Hierarchies
Kevin Frans
Jonathan Ho
Xi Chen
Pieter Abbeel
John Schulman
84
355
0
26 Oct 2017
Improving One-Shot Learning through Fusing Side Information
Improving One-Shot Learning through Fusing Side Information
Yao-Hung Hubert Tsai
Ruslan Salakhutdinov
FedML
53
51
0
23 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
BDLVLM
79
178
0
13 Oct 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive
  Environments
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Maruan Al-Shedivat
Trapit Bansal
Yuri Burda
Ilya Sutskever
Igor Mordatch
Pieter Abbeel
CLL
79
354
0
10 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
129
1,436
0
10 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
209
1,454
0
09 Oct 2017
Online Learning of a Memory for Learning Rates
Online Learning of a Memory for Learning Rates
Franziska Meier
Daniel Kappler
S. Schaal
62
21
0
20 Sep 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
133
566
0
14 Sep 2017
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot
Stanislav Fort
50
82
0
09 Aug 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
135
1,124
0
31 Jul 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
259
5,621
0
21 Jul 2017
A Simple Neural Attentive Meta-Learner
A Simple Neural Attentive Meta-Learner
Nikhil Mishra
Mostafa Rohaninejad
Xi Chen
Pieter Abbeel
OOD
109
200
0
11 Jul 2017
Few-Shot Learning Through an Information Retrieval Lens
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou
R. Zemel
R. Urtasun
74
239
0
09 Jul 2017
Learning to Learn: Meta-Critic Networks for Sample Efficient Learning
Learning to Learn: Meta-Critic Networks for Sample Efficient Learning
Flood Sung
Li Zhang
Tao Xiang
Timothy M. Hospedales
Yongxin Yang
OffRL
76
129
0
29 Jun 2017
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