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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 / 5,504 papers shown
Title
Regularized Fine-grained Meta Face Anti-spoofing
Regularized Fine-grained Meta Face Anti-spoofing
Rui Shao
X. Lan
Pong C. Yuen
CVBM
70
170
0
25 Nov 2019
Prototype Rectification for Few-Shot Learning
Prototype Rectification for Few-Shot Learning
Jinlu Liu
Liang Song
Yongqiang Qin
114
250
0
25 Nov 2019
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using
  Structured Meta Learning
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning
Sameeksha Katoch
Kowshik Thopalli
Jayaraman J. Thiagarajan
Pavan Turaga
A. Spanias
49
4
0
24 Nov 2019
Differentiable Meta-learning Model for Few-shot Semantic Segmentation
Differentiable Meta-learning Model for Few-shot Semantic Segmentation
Pinzhuo Tian
Zhangkai Wu
Lei Qi
Lei Wang
Yinghuan Shi
Yang Gao
VLM
76
83
0
23 Nov 2019
Meta Adaptation using Importance Weighted Demonstrations
Meta Adaptation using Importance Weighted Demonstrations
Kiran Lekkala
Sami Abu-El-Haija
Laurent Itti
37
2
0
23 Nov 2019
Optimizing Data Usage via Differentiable Rewards
Optimizing Data Usage via Differentiable Rewards
Xinyi Wang
Hieu H. Pham
Paul Michel
Antonios Anastasopoulos
J. Carbonell
Graham Neubig
90
62
0
22 Nov 2019
Continual adaptation for efficient machine communication
Continual adaptation for efficient machine communication
Robert D. Hawkins
Minae Kwon
Dorsa Sadigh
Noah D. Goodman
CLL
93
32
0
22 Nov 2019
Measuring Uncertainty through Bayesian Learning of Deep Neural Network
  Structure
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure
Zhijie Deng
Yucen Luo
Jun Zhu
Bo Zhang
UQCVBDL
47
2
0
22 Nov 2019
Knowledge Graph Transfer Network for Few-Shot Recognition
Knowledge Graph Transfer Network for Few-Shot Recognition
Riquan Chen
Tianshui Chen
X. Hui
Hefeng Wu
Guanbin Li
Liang Lin
SLR
49
63
0
21 Nov 2019
Agent Probing Interaction Policies
Agent Probing Interaction Policies
Siddharth Ghiya
Oluwafemi Azeez
Brendan Miller
20
0
0
21 Nov 2019
Continual Learning with Adaptive Weights (CLAW)
Continual Learning with Adaptive Weights (CLAW)
T. Adel
Han Zhao
Richard Turner
CLL
76
73
0
21 Nov 2019
Investigating Active Learning and Meta-Learning for Iterative Peptide
  Design
Investigating Active Learning and Meta-Learning for Iterative Peptide Design
Rainier Barrett
A. White
76
2
0
20 Nov 2019
MANGA: Method Agnostic Neural-policy Generalization and Adaptation
MANGA: Method Agnostic Neural-policy Generalization and Adaptation
Homanga Bharadhwaj
Shoichiro Yamaguchi
S. Maeda
48
4
0
19 Nov 2019
Constructing Multiple Tasks for Augmentation: Improving Neural Image
  Classification With K-means Features
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features
Tao Gui
Lizhi Qing
Qi Zhang
Jiacheng Ye
Hang Yan
Zichu Fei
Xuanjing Huang
47
2
0
18 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for
  Embodied Navigation
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li
Xinze Wang
Siliang Tang
Haizhou Shi
Leilei Gan
Yueting Zhuang
William Yang Wang
SSL
99
70
0
18 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual
  Recognition
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
120
38
0
17 Nov 2019
Automatic Design of CNNs via Differentiable Neural Architecture Search
  for PolSAR Image Classification
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification
Hongwei Dong
Siyu Zhang
B. Zou
Lamei Zhang
90
48
0
16 Nov 2019
Faster AutoAugment: Learning Augmentation Strategies using
  Backpropagation
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
77
208
0
16 Nov 2019
An Induced Multi-Relational Framework for Answer Selection in Community
  Question Answer Platforms
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
Kanika Narang
Chaoqi Yang
A. Krishnan
Junting Wang
Hari Sundaram
Carolyn Sutter
72
6
0
16 Nov 2019
Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via
  LIDAR Altimetry and Reinforcement Meta-Learning
Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via LIDAR Altimetry and Reinforcement Meta-Learning
B. Gaudet
R. Linares
R. Furfaro
27
1
0
16 Nov 2019
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with
  Minimal Resources
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
Qianhui Wu
Zijia Lin
Guoxin Wang
Hui Chen
Börje F. Karlsson
Biqing Huang
Chin-Yew Lin
96
68
0
14 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification
Self-Supervised Learning For Few-Shot Image Classification
Da Chen
YueFeng Chen
Yuhong Li
Feng Mao
Yuan He
Hui Xue
SSL
75
111
0
14 Nov 2019
Motion Reasoning for Goal-Based Imitation Learning
Motion Reasoning for Goal-Based Imitation Learning
De-An Huang
Yu-Wei Chao
Chris Paxton
Xinke Deng
Li Fei-Fei
Juan Carlos Niebles
Animesh Garg
Dieter Fox
79
12
0
13 Nov 2019
Experience-Embedded Visual Foresight
Experience-Embedded Visual Foresight
Yen-Chen Lin
Maria Bauzá
Phillip Isola
120
36
0
12 Nov 2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph
  Modeling
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
Yadan Luo
Zi Huang
Zheng Zhang
Ziwei Wang
Mahsa Baktashmotlagh
Yang Yang
CLLBDL
63
25
0
12 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot
  Learning
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning
Yan Wang
Wei-Lun Chao
Kilian Q. Weinberger
Laurens van der Maaten
VLM
89
343
0
12 Nov 2019
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic
  Meta-Learning
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning
Sathish Indurthi
HyoJung Han
Nikhil Kumar Lakumarapu
Beomseok Lee
Insoo Chung
Sangha Kim
Chanwoo Kim
81
26
0
11 Nov 2019
Context-aware Active Multi-Step Reinforcement Learning
Context-aware Active Multi-Step Reinforcement Learning
Gang Chen
Dingcheng Li
Ran Xu
26
0
0
11 Nov 2019
MAME : Model-Agnostic Meta-Exploration
MAME : Model-Agnostic Meta-Exploration
Swaminathan Gurumurthy
Sumit Kumar
Katia Sycara
84
15
0
11 Nov 2019
Learning to Few-Shot Learn Across Diverse Natural Language
  Classification Tasks
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks
Trapit Bansal
Rishikesh Jha
Andrew McCallum
SSL
115
121
0
10 Nov 2019
Meta Label Correction for Noisy Label Learning
Meta Label Correction for Noisy Label Learning
Guoqing Zheng
Ahmed Hassan Awadallah
S. Dumais
NoLaOffRL
135
186
0
10 Nov 2019
Learning to reinforcement learn for Neural Architecture Search
Learning to reinforcement learn for Neural Architecture Search
J. Gomez
Joaquin Vanschoren
82
8
0
09 Nov 2019
Table-to-Text Natural Language Generation with Unseen Schemas
Table-to-Text Natural Language Generation with Unseen Schemas
Tianyu Liu
Wei Wei
Wenjie Wang
LMTD
39
0
0
09 Nov 2019
Penalty Method for Inversion-Free Deep Bilevel Optimization
Penalty Method for Inversion-Free Deep Bilevel Optimization
Akshay Mehra
Jihun Hamm
163
46
0
08 Nov 2019
Fair Meta-Learning: Learning How to Learn Fairly
Fair Meta-Learning: Learning How to Learn Fairly
Dylan Slack
Sorelle A. Friedler
Emile Givental
FedMLFaML
51
4
0
06 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine
Paul Vicol
David Duvenaud
DD
139
417
0
06 Nov 2019
Picking groups instead of samples: A close look at Static Pool-based
  Meta-Active Learning
Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning
Ignasi Mas
J. Morros
Verónica Vilaplana
40
2
0
01 Nov 2019
Learning to Customize Model Structures for Few-shot Dialogue Generation
  Tasks
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
Yiping Song
Zequn Liu
Wei Bi
Rui Yan
Ming Zhang
59
35
0
31 Oct 2019
Hierarchical Expert Networks for Meta-Learning
Hierarchical Expert Networks for Meta-Learning
Heinke Hihn
Daniel A. Braun
117
4
0
31 Oct 2019
Meta-Learning to Cluster
Meta-Learning to Cluster
Yibo Jiang
Nakul Verma
FedML
53
7
0
30 Oct 2019
Unsupervised Star Galaxy Classification with Cascade Variational
  Auto-Encoder
Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder
Hao Sun
Jiadong Guo
Edward J. Kim
R. Brunner
29
2
0
30 Oct 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
101
218
0
30 Oct 2019
When MAML Can Adapt Fast and How to Assist When It Cannot
When MAML Can Adapt Fast and How to Assist When It Cannot
Sébastien M. R. Arnold
Shariq Iqbal
Fei Sha
51
5
0
30 Oct 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features
Domain Generalization via Model-Agnostic Learning of Semantic Features
Qi Dou
Daniel Coelho De Castro
Konstantinos Kamnitsas
Ben Glocker
OOD
168
706
0
29 Oct 2019
Convolutional Conditional Neural Processes
Convolutional Conditional Neural Processes
Jonathan Gordon
W. Bruinsma
Andrew Y. K. Foong
James Requeima
Yann Dubois
Richard Turner
BDL
98
168
0
29 Oct 2019
Neural Similarity Learning
Neural Similarity Learning
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
94
30
0
28 Oct 2019
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited
  Labeled Data
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data
Wanyu Lin
Zhaolin Gao
Baochun Li
32
1
0
28 Oct 2019
HIDRA: Head Initialization across Dynamic targets for Robust
  Architectures
HIDRA: Head Initialization across Dynamic targets for Robust Architectures
Rafael Rêgo Drumond
L. Brinkmeyer
Josif Grabocka
Lars Schmidt-Thieme
84
4
0
28 Oct 2019
Differentiable Convex Optimization Layers
Differentiable Convex Optimization Layers
Akshay Agrawal
Brandon Amos
Shane T. Barratt
Stephen P. Boyd
Steven Diamond
Zico Kolter
104
669
0
28 Oct 2019
Meta Learning for End-to-End Low-Resource Speech Recognition
Meta Learning for End-to-End Low-Resource Speech Recognition
Jui-Yang Hsu
Yuan-Jui Chen
Hung-yi Lee
71
105
0
26 Oct 2019
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