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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
Meta-Graph: Few Shot Link Prediction via Meta Learning
Meta-Graph: Few Shot Link Prediction via Meta Learning
A. Bose
Ankit Jain
Piero Molino
William L. Hamilton
84
66
0
20 Dec 2019
Unsupervised Few-shot Learning via Self-supervised Training
Unsupervised Few-shot Learning via Self-supervised Training
Zilong Ji
Xiaolong Zou
Tiejun Huang
Si Wu
SSL
66
24
0
20 Dec 2019
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot
  Learning
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
Zhongjie Yu
Lin Chen
Zhongwei Cheng
Jiebo Luo
83
110
0
19 Dec 2019
One-Shot Weakly Supervised Video Object Segmentation
One-Shot Weakly Supervised Video Object Segmentation
Mennatullah Siam
Naren Doraiswamy
Boris N. Oreshkin
Hengshuai Yao
Martin Jägersand
VOS
45
2
0
18 Dec 2019
Continuous Meta-Learning without Tasks
Continuous Meta-Learning without Tasks
James Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
CLLOOD
98
79
0
18 Dec 2019
Semantic Regularization: Improve Few-shot Image Classification by
  Reducing Meta Shift
Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift
Da Chen
Yongliang Yang
Zunlei Feng
Xiang Wu
Min-Gyoo Song
Wenbin Li
Yuan He
Hui Xue
Feng Mao
VLM
23
1
0
18 Dec 2019
Generative Teaching Networks: Accelerating Neural Architecture Search by
  Learning to Generate Synthetic Training Data
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
F. Such
Aditya Rawal
Joel Lehman
Kenneth O. Stanley
Jeff Clune
DD
72
159
0
17 Dec 2019
A Broader Study of Cross-Domain Few-Shot Learning
A Broader Study of Cross-Domain Few-Shot Learning
Yunhui Guo
Noel Codella
Leonid Karlinsky
James V. Codella
John R. Smith
Kate Saenko
Tajana Simunic
Rogerio Feris
88
45
0
16 Dec 2019
How Should an Agent Practice?
How Should an Agent Practice?
Janarthanan Rajendran
Richard L. Lewis
Vivek Veeriah
Honglak Lee
Satinder Singh
71
8
0
15 Dec 2019
Towards Contextual Learning in Few-shot Object Classification
Towards Contextual Learning in Few-shot Object Classification
M. Fortin
B. Chaib-draa
61
3
0
13 Dec 2019
Multi-level Similarity Learning for Low-Shot Recognition
Multi-level Similarity Learning for Low-Shot Recognition
Hongwei Xv
Changrui Chen
Junyu Dong
Shu Zhang
Qiong Li
30
1
0
13 Dec 2019
Meta-Learning Initializations for Image Segmentation
Meta-Learning Initializations for Image Segmentation
S. Hendryx
Andrew B. Leach
P. Hein
Clayton T. Morrison
VLM
85
25
0
13 Dec 2019
What Can Learned Intrinsic Rewards Capture?
What Can Learned Intrinsic Rewards Capture?
Zeyu Zheng
Junhyuk Oh
Matteo Hessel
Zhongwen Xu
M. Kroiss
H. V. Hasselt
David Silver
Satinder Singh
97
79
0
11 Dec 2019
MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low
  Resource Machine Translation
MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
Rumeng Li
Xun Wang
Hong-ye Yu
85
39
0
11 Dec 2019
Image Classification with Deep Learning in the Presence of Noisy Labels:
  A Survey
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
G. Algan
ilkay Ulusoy
NoLaVLM
96
334
0
11 Dec 2019
Associative Alignment for Few-shot Image Classification
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
75
151
0
11 Dec 2019
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedMLAI4CE
304
6,354
0
10 Dec 2019
A Two-Stage Approach to Few-Shot Learning for Image Recognition
A Two-Stage Approach to Few-Shot Learning for Image Recognition
Debasmit Das
C. S. George Lee
108
126
0
10 Dec 2019
Encoding Musical Style with Transformer Autoencoders
Encoding Musical Style with Transformer Autoencoders
Kristy Choi
Curtis Hawthorne
Ian Simon
Monica Dinculescu
Jesse Engel
95
90
0
10 Dec 2019
Zero-shot Text Classification With Generative Language Models
Zero-shot Text Classification With Generative Language Models
Raul Puri
Bryan Catanzaro
VLM
83
106
0
10 Dec 2019
Unsupervised Transfer Learning via BERT Neuron Selection
Unsupervised Transfer Learning via BERT Neuron Selection
M. Valipour
E. Lee
Jaime R. Jamacaro
C. Bessega
58
5
0
10 Dec 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Allan Jabri
Kyle Hsu
Benjamin Eysenbach
Abhishek Gupta
Sergey Levine
Chelsea Finn
VLMOODSSLOffRL
84
65
0
09 Dec 2019
Meta-Learning without Memorization
Meta-Learning without Memorization
Mingzhang Yin
George Tucker
Mingyuan Zhou
Sergey Levine
Chelsea Finn
VLM
73
188
0
09 Dec 2019
Bidirectional Scene Text Recognition with a Single Decoder
Bidirectional Scene Text Recognition with a Single Decoder
Maurits J. R. Bleeker
Maarten de Rijke
62
16
0
08 Dec 2019
Improved Few-Shot Visual Classification
Improved Few-Shot Visual Classification
Peyman Bateni
Raghav Goyal
Vaden Masrani
Frank Wood
Leonid Sigal
VLM
87
234
0
07 Dec 2019
Observational Overfitting in Reinforcement Learning
Observational Overfitting in Reinforcement Learning
Xingyou Song
Yiding Jiang
Stephen Tu
Yilun Du
Behnam Neyshabur
OffRL
134
140
0
06 Dec 2019
Revisiting Few-Shot Learning for Facial Expression Recognition
Revisiting Few-Shot Learning for Facial Expression Recognition
Anca-Nicoleta Ciubotaru
A. Devos
Behzad Bozorgtabar
Jean-Philippe Thiran
M. Gabrani
CVBM
63
11
0
05 Dec 2019
MetaFun: Meta-Learning with Iterative Functional Updates
MetaFun: Meta-Learning with Iterative Functional Updates
Jin Xu
Jean-François Ton
Hyunjik Kim
Adam R. Kosiorek
Yee Whye Teh
78
68
0
05 Dec 2019
Towards Understanding Residual and Dilated Dense Neural Networks via
  Convolutional Sparse Coding
Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding
Zhiyang Zhang
Shihua Zhang
72
15
0
05 Dec 2019
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and
  Meta-Learning
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning
Tomaso Fontanini
Eleonora Iotti
Luca Donati
Andrea Prati
GANAI4CE
146
24
0
05 Dec 2019
Angular Visual Hardness
Angular Visual Hardness
Beidi Chen
Weiyang Liu
Zhiding Yu
Jan Kautz
Anshumali Shrivastava
Animesh Garg
Anima Anandkumar
AAML
139
52
0
04 Dec 2019
Learning to Recommend via Meta Parameter Partition
Learning to Recommend via Meta Parameter Partition
Liang Zhao
Yang Wang
Daxiang Dong
Hao Tian
OffRLCLL
81
7
0
04 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent
  Communication)
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa
O. Afanasjeva
Simon Andersson
Joseph Davidson
N. Guttenberg
Petr Hlubucek
Martin Poliak
Jaroslav Vítků
Jan Feyereisl
80
10
0
03 Dec 2019
Deep Learning for Visual Tracking: A Comprehensive Survey
Deep Learning for Visual Tracking: A Comprehensive Survey
S. M. Marvasti-Zadeh
Li Cheng
Hossein Ghanei-Yakhdan
S. Kasaei
BDL
87
284
0
02 Dec 2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot
  Classification
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
Sivan Doveh
Eli Schwartz
Chao Xue
Rogerio Feris
A. Bronstein
Raja Giryes
Leonid Karlinsky
124
17
0
01 Dec 2019
[Re] Learning to Learn By Self-Critique
[Re] Learning to Learn By Self-Critique
Isac Arnekvist
Dmytro Kalpakchi
29
0
0
30 Nov 2019
VIABLE: Fast Adaptation via Backpropagating Learned Loss
VIABLE: Fast Adaptation via Backpropagating Learned Loss
Leo Feng
L. Zintgraf
Bei Peng
Shimon Whiteson
62
1
0
29 Nov 2019
Unlocking the Full Potential of Small Data with Diverse Supervision
Unlocking the Full Potential of Small Data with Diverse Supervision
Ziqi Pang
Zhiyuan Hu
P. Tokmakov
Yu-Xiong Wang
M. Hebert
34
0
0
29 Nov 2019
Multimodal Machine Translation through Visuals and Speech
Multimodal Machine Translation through Visuals and Speech
U. Sulubacak
Ozan Caglayan
Stig-Arne Gronroos
Aku Rouhe
Desmond Elliott
Lucia Specia
Jörg Tiedemann
101
77
0
28 Nov 2019
Continuous Adaptation for Interactive Object Segmentation by Learning
  from Corrections
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections
Theodora Kontogianni
Michael Gygli
J. Uijlings
V. Ferrari
CLLVLM
91
59
0
28 Nov 2019
Multi-Agent Deep Reinforcement Learning with Adaptive Policies
Multi-Agent Deep Reinforcement Learning with Adaptive Policies
Yixiang Wang
Feng Wu
38
2
0
28 Nov 2019
Learning Multi-level Weight-centric Features for Few-shot Learning
Learning Multi-level Weight-centric Features for Few-shot Learning
Min-Siong Liang
Shaoli Huang
Shirui Pan
Biwei Huang
Wei Liu
116
11
0
28 Nov 2019
Decoupling Features and Coordinates for Few-shot RGB Relocalization
Siyan Dong
Songyin Wu
Yixin Zhuang
Kai Xu
Shanghang Zhang
Baoquan Chen
64
0
0
26 Nov 2019
Domain-Aware Dynamic Networks
Domain-Aware Dynamic Networks
Tianyuan Zhang
Bichen Wu
Xin Wang
Joseph E. Gonzalez
Kurt Keutzer
79
6
0
26 Nov 2019
Few-Shot Knowledge Graph Completion
Few-Shot Knowledge Graph Completion
Chuxu Zhang
Huaxiu Yao
Chao Huang
Meng Jiang
Z. Li
Nitesh Chawla
56
206
0
26 Nov 2019
Learning to Learn Words from Visual Scenes
Learning to Learn Words from Visual Scenes
Dídac Surís
Dave Epstein
Heng Ji
Shih-Fu Chang
Carl Vondrick
VLMCLIPSSLOffRL
72
4
0
25 Nov 2019
Theory-based Causal Transfer: Integrating Instance-level Induction and
  Abstract-level Structure Learning
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning
Mark Edmonds
Xiaojian Ma
Siyuan Qi
Yixin Zhu
Hongjing Lu
Song-Chun Zhu
91
27
0
25 Nov 2019
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation
  and One-Shot Channel Pruning
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
Ilchae Jung
Kihyun You
Hyeonwoo Noh
Minsu Cho
Bohyung Han
82
27
0
25 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning
Meta-Learning of Neural Architectures for Few-Shot Learning
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
88
139
0
25 Nov 2019
Generalized Adaptation for Few-Shot Learning
Liang Song
Jinlu Liu
Yongqiang Qin
VLM
71
8
0
25 Nov 2019
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