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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 / 5,505 papers shown
Title
Physarum Powered Differentiable Linear Programming Layers and
  Applications
Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng
Sathya Ravi
Vikas Singh
87
5
0
30 Apr 2020
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
Gerrit Schoettler
Ashvin Nair
J. A. Ojea
Sergey Levine
Eugen Solowjow
OffRLOnRL
70
87
0
29 Apr 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense
  Disambiguation
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
88
28
0
29 Apr 2020
Meta-Transfer Learning for Code-Switched Speech Recognition
Meta-Transfer Learning for Code-Switched Speech Recognition
Genta Indra Winata
Samuel Cahyawijaya
Zhaojiang Lin
Zihan Liu
Peng Xu
Pascale Fung
92
56
0
29 Apr 2020
Meta-Learning for Few-Shot Land Cover Classification
Meta-Learning for Few-Shot Land Cover Classification
M. Rußwurm
Sherrie Wang
Marco Körner
David B. Lobell
83
84
0
28 Apr 2020
Learning to Learn Morphological Inflection for Resource-Poor Languages
Learning to Learn Morphological Inflection for Resource-Poor Languages
Katharina Kann
Samuel R. Bowman
Kyunghyun Cho
46
9
0
28 Apr 2020
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems
Eseoghene Ben-Iwhiwhu
Pawel Ladosz
Jeffery Dick
Wen‐Hua Chen
Praveen K. Pilly
Andrea Soltoggio
102
9
0
27 Apr 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
S. Hu
Pablo G. Moreno
Yanghua Xiao
Xin Shen
G. Obozinski
Neil D. Lawrence
Andreas C. Damianou
BDL
99
125
0
27 Apr 2020
Challenge Closed-book Science Exam: A Meta-learning Based Question
  Answering System
Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System
Xinyue Zheng
Peng Wang
Qigang Wang
Zhongchao Shi
RALM
26
0
0
26 Apr 2020
MICK: A Meta-Learning Framework for Few-shot Relation Classification
  with Small Training Data
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data
Xiaoqing Geng
Xiwen Chen
Kenny Q. Zhu
Libin Shen
Yinggong Zhao
34
1
0
26 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations
A Perspective on Deep Learning for Molecular Modeling and Simulations
Jun Zhang
Yao-Kun Lei
Zhen Zhang
Junhan Chang
Maodong Li
Xu Han
Lijiang Yang
Yue Yang
Y. Gao
AI4CE
119
8
0
25 Apr 2020
Improved Adversarial Training via Learned Optimizer
Improved Adversarial Training via Learned Optimizer
Yuanhao Xiong
Cho-Jui Hsieh
AAML
81
31
0
25 Apr 2020
Explicit Domain Adaptation with Loosely Coupled Samples
Explicit Domain Adaptation with Loosely Coupled Samples
Oliver Scheel
L. Schwarz
Nassir Navab
Federico Tombari
OOD
40
2
0
24 Apr 2020
ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning
ST2^22: Small-data Text Style Transfer via Multi-task Meta-Learning
Xiwen Chen
Kenny Q. Zhu
CLIP
69
5
0
24 Apr 2020
Few-Shot Class-Incremental Learning
Few-Shot Class-Incremental Learning
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
CLL
111
419
0
23 Apr 2020
Learning to Classify Intents and Slot Labels Given a Handful of Examples
Learning to Classify Intents and Slot Labels Given a Handful of Examples
Jason Krone
Yi Zhang
Mona T. Diab
VLM
82
47
0
22 Apr 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode
  Training for Few-shot Skin Disease Classification
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification
Wei-wei Zhu
Haofu Liao
Wenbin Li
Weijian Li
Jiebo Luo
86
17
0
21 Apr 2020
Pose Manipulation with Identity Preservation
Pose Manipulation with Identity Preservation
Andrei-Timotei Ardelean
L. Sasu
CVBM
30
0
0
20 Apr 2020
Dynamic Knowledge Graph-based Dialogue Generation with Improved
  Adversarial Meta-Learning
Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning
Hongcai Xu
J. Bao
Gaojie Zhang
82
8
0
19 Apr 2020
Knowledge-graph based Proactive Dialogue Generation with Improved
  Meta-Learning
Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning
Hongcai Xu
J. Bao
Junqing Wang
66
9
0
19 Apr 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based
  Optimization
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
Homanga Bharadhwaj
Kevin Xie
Florian Shkurti
62
50
0
19 Apr 2020
Reinforcement Meta-Learning for Interception of Maneuvering
  Exoatmospheric Targets with Parasitic Attitude Loop
Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop
B. Gaudet
R. Furfaro
R. Linares
A. Scorsoglio
43
20
0
18 Apr 2020
Meta-Meta Classification for One-Shot Learning
Meta-Meta Classification for One-Shot Learning
Arkabandhu Chowdhury
Dipak Chaudhari
Swarat Chaudhuri
C. Jermaine
74
5
0
17 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLMOffRL
121
35
0
17 Apr 2020
Divergent Search for Few-Shot Image Classification
Divergent Search for Few-Shot Image Classification
Jeremy Tan
Bernhard Kainz
45
0
0
16 Apr 2020
A Game Theoretic Framework for Model Based Reinforcement Learning
A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran
Igor Mordatch
Vikash Kumar
OffRL
60
128
0
16 Apr 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
233
2,074
0
16 Apr 2020
Zero-Shot Compositional Policy Learning via Language Grounding
Zero-Shot Compositional Policy Learning via Language Grounding
Tianshi Cao
Jingkang Wang
Yining Zhang
S. Manivasagam
LM&Ro
62
2
0
15 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning
Defining Benchmarks for Continual Few-Shot Learning
Antreas Antoniou
Massimiliano Patacchiola
Mateusz Ochal
Amos Storkey
56
38
0
15 Apr 2020
lamBERT: Language and Action Learning Using Multimodal BERT
lamBERT: Language and Action Learning Using Multimodal BERT
Kazuki Miyazawa
Tatsuya Aoki
Takato Horii
Takayuki Nagai
SSLLM&Ro
85
12
0
15 Apr 2020
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product
  Categories
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories
Giannis Karamanolakis
Jun Ma
Xin Luna Dong
61
65
0
15 Apr 2020
Balancing Training for Multilingual Neural Machine Translation
Balancing Training for Multilingual Neural Machine Translation
Xinyi Wang
Yulia Tsvetkov
Graham Neubig
128
101
0
14 Apr 2020
Weight Poisoning Attacks on Pre-trained Models
Weight Poisoning Attacks on Pre-trained Models
Keita Kurita
Paul Michel
Graham Neubig
AAMLSILM
152
458
0
14 Apr 2020
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
Mateusz Michalkiewicz
Sarah Parisot
Stavros Tsogkas
Mahsa Baktash
Anders P. Eriksson
Eugene Belilovsky
3DV
72
25
0
14 Apr 2020
Regularizing Meta-Learning via Gradient Dropout
Regularizing Meta-Learning via Gradient Dropout
Hung-Yu Tseng
Yi-Wen Chen
Yi-Hsuan Tsai
Sifei Liu
Yen-Yu Lin
Ming-Hsuan Yang
71
34
0
13 Apr 2020
Diversity Helps: Unsupervised Few-shot Learning via Distribution
  Shift-based Data Augmentation
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation
Tiexin Qin
Wenbin Li
Yinghuan Shi
Yang Gao
69
16
0
13 Apr 2020
Pre-training Text Representations as Meta Learning
Pre-training Text Representations as Meta Learning
Shangwen Lv
Yuechen Wang
Daya Guo
Duyu Tang
Nan Duan
...
Ryan Ma
Daxin Jiang
Guihong Cao
Ming Zhou
Songlin Hu
AIMatSSLAI4CE
36
9
0
12 Apr 2020
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment
Hancheng Zhu
Leida Li
Jinjian Wu
W. Dong
Guangming Shi
82
287
0
11 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
420
2,005
0
11 Apr 2020
Multi-task Learning via Adaptation to Similar Tasks for Mortality
  Prediction of Diverse Rare Diseases
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
Luchen Liu
Zequn Liu
Haoxian Wu
Zichang Wang
Jianhao Shen
Yiping Song
Ming Zhang
45
19
0
11 Apr 2020
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning
Rohit Jena
Shirsendu Sukanta Halder
Katia Sycara
VLM
22
1
0
10 Apr 2020
Training few-shot classification via the perspective of minibatch and
  pretraining
Training few-shot classification via the perspective of minibatch and pretraining
Meiyu Huang
Xueshuang Xiang
Yao Xu
VLM
17
2
0
10 Apr 2020
Orthogonal Over-Parameterized Training
Orthogonal Over-Parameterized Training
Weiyang Liu
Rongmei Lin
Zhen Liu
James M. Rehg
Liam Paull
Li Xiong
Le Song
Adrian Weller
82
45
0
09 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain
  Adaptation
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation
Da Li
Timothy M. Hospedales
84
103
0
09 Apr 2020
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized
  nonlocal universal Laplacian operator. Algorithms and Applications
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
G. Pang
M. DÉlia
M. Parks
George Karniadakis
PINN
62
155
0
08 Apr 2020
Deep Learning and Open Set Malware Classification: A Survey
Deep Learning and Open Set Malware Classification: A Survey
Jingyun Jia
31
2
0
08 Apr 2020
Empirical Perspectives on One-Shot Semi-supervised Learning
Empirical Perspectives on One-Shot Semi-supervised Learning
L. Smith
A. Conovaloff
31
1
0
08 Apr 2020
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based
  Sleep Stage Classifier to New Individual Subject Using Meta-Learning
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Nannapas Banluesombatkul
Pichayoot Ouppaphan
Pitshaporn Leelaarporn
Payongkit Lakhan
Busarakum Chaitusaney
...
Ekapol Chuangsuwanich
Wei Chen
Huy Phan
Nat Dilokthanakul
Theerawit Wilaiprasitporn
106
1
0
08 Apr 2020
Optimistic Agent: Accurate Graph-Based Value Estimation for More
  Successful Visual Navigation
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation
M. Moghaddam
Qi Wu
Ehsan Abbasnejad
Javen Qinfeng Shi
66
4
0
07 Apr 2020
More Data, More Relations, More Context and More Openness: A Review and
  Outlook for Relation Extraction
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
Xu Han
Tianyu Gao
Yankai Lin
Hao Peng
Yaoliang Yang
Chaojun Xiao
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
111
138
0
07 Apr 2020
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