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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
ArXiv (abs)PDFHTML

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

50 / 5,503 papers shown
Title
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few
  Examples
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Lixuan Zhu
Vincent Dumoulin
Pascal Lamblin
Utku Evci
...
Ross Goroshin
Carles Gelada
Kevin Swersky
Pierre-Antoine Manzagol
Hugo Larochelle
156
620
0
07 Mar 2019
Concurrent Meta Reinforcement Learning
Concurrent Meta Reinforcement Learning
Emilio Parisotto
Soham Ghosh
S. Yalamanchi
Varsha Chinnaobireddy
Yuhuai Wu
Ruslan Salakhutdinov
LRM
66
17
0
07 Mar 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement
  and Attentive Few-Shot Learning
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
Chi Zhang
Guosheng Lin
Fayao Liu
Rui Yao
Chunhua Shen
VLMSSeg
72
545
0
06 Mar 2019
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
A. Ayyad
Yuchen Li
Nassir Navab
Shadi Albarqouni
Mohamed Elhoseiny
38
7
0
06 Mar 2019
Learning a smooth kernel regularizer for convolutional neural networks
Learning a smooth kernel regularizer for convolutional neural networks
Reuben Feinman
Brenden M. Lake
BDLSSL
54
7
0
05 Mar 2019
Model Primitive Hierarchical Lifelong Reinforcement Learning
Model Primitive Hierarchical Lifelong Reinforcement Learning
Bohan Wu
Jayesh K. Gupta
Mykel J. Kochenderfer
OffRL
45
10
0
04 Mar 2019
Zero-Shot Task Transfer
Zero-Shot Task Transfer
Arghya Pal
V. Balasubramanian
98
52
0
04 Mar 2019
NoRML: No-Reward Meta Learning
NoRML: No-Reward Meta Learning
Yuxiang Yang
Ken Caluwaerts
Atil Iscen
Jie Tan
Chelsea Finn
77
27
0
04 Mar 2019
Automating Predictive Modeling Process using Reinforcement Learning
Automating Predictive Modeling Process using Reinforcement Learning
Udayan Khurana
Horst Samulowitz
OffRL
38
4
0
02 Mar 2019
Meta Dynamic Pricing: Transfer Learning Across Experiments
Meta Dynamic Pricing: Transfer Learning Across Experiments
Hamsa Bastani
D. Simchi-Levi
Ruihao Zhu
130
94
0
28 Feb 2019
Provable Guarantees for Gradient-Based Meta-Learning
Provable Guarantees for Gradient-Based Meta-Learning
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
FedML
142
150
0
27 Feb 2019
Induction Networks for Few-Shot Text Classification
Induction Networks for Few-Shot Text Classification
Ruiying Geng
Binhua Li
Yongbin Li
Xiao-Dan Zhu
Ping Jian
Jian Sun
104
186
0
27 Feb 2019
Intelligent Autonomous Things on the Battlefield
Intelligent Autonomous Things on the Battlefield
Alexander Kott
Ethan Stump
28
11
0
26 Feb 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via
  Random Labels and Data Augmentation
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation
Antreas Antoniou
Amos Storkey
SSL
111
75
0
26 Feb 2019
LaSO: Label-Set Operations networks for multi-label few-shot learning
LaSO: Label-Set Operations networks for multi-label few-shot learning
Amit Alfassy
Leonid Karlinsky
Amit Aides
J. Shtok
Sivan Harary
Rogerio Feris
Raja Giryes
A. Bronstein
129
119
0
26 Feb 2019
High Dimensional Restrictive Federated Model Selection with
  multi-objective Bayesian Optimization over shifted distributions
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions
Xudong Sun
Andrea Bommert
Florian Pfisterer
Jörg Rahnenführer
Michel Lang
B. Bischl
FedML
73
12
0
24 Feb 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task
  Supervision at Test-Time
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time
Gabriel Huang
Hugo Larochelle
Simon Lacoste-Julien
SSLOOD
130
21
0
22 Feb 2019
Online Meta-Learning
Online Meta-Learning
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
CLL
87
256
0
22 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OODAAMLGNN
143
574
0
22 Feb 2019
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question
  Generation
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation
Sang-Woo Lee
Tong Gao
Sohee Yang
Jaejun Yoo
Jung-Woo Ha
54
17
0
22 Feb 2019
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
Jun Shu
Qi Xie
Lixuan Yi
Qian Zhao
Sanping Zhou
Zongben Xu
Deyu Meng
NoLa
29
4
0
20 Feb 2019
Adaptive Masked Proxies for Few-Shot Segmentation
Adaptive Masked Proxies for Few-Shot Segmentation
Mennatullah Siam
Boris N. Oreshkin
Martin Jägersand
82
33
0
19 Feb 2019
Learning to Generalize from Sparse and Underspecified Rewards
Learning to Generalize from Sparse and Underspecified Rewards
Rishabh Agarwal
Chen Liang
Dale Schuurmans
Mohammad Norouzi
OffRL
134
96
0
19 Feb 2019
Adaptive Cross-Modal Few-Shot Learning
Adaptive Cross-Modal Few-Shot Learning
Chen Xing
Negar Rostamzadeh
Boris N. Oreshkin
Pedro H. O. Pinheiro
148
276
0
19 Feb 2019
Sufficiently Accurate Model Learning
Sufficiently Accurate Model Learning
Clark Zhang
Arbaaz Khan
Santiago Paternain
Alejandro Ribeiro
33
3
0
19 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients
Fast Efficient Hyperparameter Tuning for Policy Gradients
Supratik Paul
Vitaly Kurin
Shimon Whiteson
72
32
0
18 Feb 2019
Realizing Continual Learning through Modeling a Learning System as a
  Fiber Bundle
Realizing Continual Learning through Modeling a Learning System as a Fiber Bundle
Zhenfeng Cao
40
2
0
16 Feb 2019
Infinite Mixture Prototypes for Few-Shot Learning
Infinite Mixture Prototypes for Few-Shot Learning
Kelsey R. Allen
Evan Shelhamer
Hanul Shin
J. Tenenbaum
71
249
0
12 Feb 2019
Task2Vec: Task Embedding for Meta-Learning
Task2Vec: Task Embedding for Meta-Learning
Alessandro Achille
Michael Lam
Rahul Tewari
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Stefano Soatto
Pietro Perona
SSL
83
317
0
10 Feb 2019
The Omniglot challenge: a 3-year progress report
The Omniglot challenge: a 3-year progress report
Brenden M. Lake
Ruslan Salakhutdinov
J. Tenenbaum
VLM
55
135
0
09 Feb 2019
Meta-Curvature
Meta-Curvature
Eunbyung Park
Junier B. Oliva
BDL
89
124
0
09 Feb 2019
A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear
  Optimization
A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization
Benoit Landry
Zachary Manchester
Marco Pavone
92
20
0
08 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based
  memory module
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Tiago Ramalho
M. Garnelo
BDL
120
78
0
07 Feb 2019
Meta-Amortized Variational Inference and Learning
Meta-Amortized Variational Inference and Learning
Mike Wu
Kristy Choi
Noah D. Goodman
Stefano Ermon
OODVLMBDLDRL
84
36
0
05 Feb 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and
  Planning
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani
Ahmed Khalifa
Vincent-Pierre Berges
Jonathan Harper
Ervin Teng
Hunter Henry
A. Crespi
Julian Togelius
Danny Lange
78
144
0
04 Feb 2019
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
Francisco M. Garcia
Philip S. Thomas
102
41
0
03 Feb 2019
Learning to Make Analogies by Contrasting Abstract Relational Structure
Learning to Make Analogies by Contrasting Abstract Relational Structure
Felix Hill
Adam Santoro
David Barrett
Ari S. Morcos
Timothy Lillicrap
NAI
71
100
0
31 Jan 2019
Episodic Training for Domain Generalization
Episodic Training for Domain Generalization
Da Li
Jianshu Zhang
Yongxin Yang
Cong Liu
Yi-Zhe Song
Timothy M. Hospedales
OOD
146
450
0
31 Jan 2019
Feature-Critic Networks for Heterogeneous Domain Generalization
Feature-Critic Networks for Heterogeneous Domain Generalization
Yiying Li
Yongxin Yang
Wei Zhou
Timothy M. Hospedales
OOD
112
256
0
31 Jan 2019
Learning and Evaluating General Linguistic Intelligence
Learning and Evaluating General Linguistic Intelligence
Dani Yogatama
Cyprien de Masson dÁutume
Jerome T. Connor
Tomás Kociský
Mike Chrzanowski
...
Angeliki Lazaridou
Wang Ling
Lei Yu
Chris Dyer
Phil Blunsom
ELMAI4CE
174
211
0
31 Jan 2019
Functional Regularisation for Continual Learning with Gaussian Processes
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLLBDL
75
187
0
31 Jan 2019
Transfer in Deep Reinforcement Learning Using Successor Features and
  Generalised Policy Improvement
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
André Barreto
Diana Borsa
John Quan
Tom Schaul
David Silver
Matteo Hessel
D. Mankowitz
Augustin Žídek
Rémi Munos
OffRL
117
165
0
30 Jan 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio
T. Deleu
Nasim Rahaman
Nan Rosemary Ke
Sébastien Lachapelle
O. Bilaniuk
Anirudh Goyal
C. Pal
CMLOOD
146
335
0
30 Jan 2019
Self-organization of action hierarchy and compositionality by
  reinforcement learning with recurrent neural networks
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
Dongqi Han
Kenji Doya
Jun Tani
AI4CE
111
20
0
29 Jan 2019
Reward Shaping via Meta-Learning
Reward Shaping via Meta-Learning
Haosheng Zou
Zhaolin Ren
Dong Yan
Hang Su
Jun Zhu
OffRL
96
69
0
27 Jan 2019
Few-shot Learning with Meta Metric Learners
Few-shot Learning with Meta Metric Learners
Yu Cheng
Mo Yu
Xiaoxiao Guo
Bowen Zhou
105
19
0
26 Jan 2019
Learning Classifiers for Domain Adaptation, Zero and Few-Shot
  Recognition Based on Learning Latent Semantic Parts
Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts
Pengkai Zhu
Hanxiao Wang
Venkatesh Saligrama
VLM
72
10
0
25 Jan 2019
Self-Supervised Generalisation with Meta Auxiliary Learning
Self-Supervised Generalisation with Meta Auxiliary Learning
Shikun Liu
Andrew J. Davison
Edward Johns
SSLOOD
94
163
0
25 Jan 2019
Sample Complexity of Estimating the Policy Gradient for Nearly
  Deterministic Dynamical Systems
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems
Osbert Bastani
61
4
0
24 Jan 2019
Learning from Multiple Cities: A Meta-Learning Approach for
  Spatial-Temporal Prediction
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction
Huaxiu Yao
Yiding Liu
Ying Wei
Xianfeng Tang
Z. Li
AI4TS
205
226
0
24 Jan 2019
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