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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
Inferential Text Generation with Multiple Knowledge Sources and
  Meta-Learning
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning
Daya Guo
Akari Asai
Duyu Tang
Nan Duan
Ming Gong
Linjun Shou
Daxin Jiang
Jian Yin
Ming Zhou
36
2
0
07 Apr 2020
Objectness-Aware Few-Shot Semantic Segmentation
Objectness-Aware Few-Shot Semantic Segmentation
Yinan Zhao
Brian L. Price
Scott D. Cohen
Danna Gurari
VLM
39
1
0
06 Apr 2020
There and Back Again: Revisiting Backpropagation Saliency Methods
There and Back Again: Revisiting Backpropagation Saliency Methods
Sylvestre-Alvise Rebuffi
Ruth C. Fong
Xu Ji
Andrea Vedaldi
FAttXAI
68
113
0
06 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
91
26
0
06 Apr 2020
Meta-Learning for Few-Shot NMT Adaptation
Meta-Learning for Few-Shot NMT Adaptation
Amr Sharaf
Hany Hassan
Hal Daumé
61
35
0
06 Apr 2020
Knowledge Guided Metric Learning for Few-Shot Text Classification
Knowledge Guided Metric Learning for Few-Shot Text Classification
Dianbo Sui
Yubo Chen
B. Mao
Delai Qiu
Kang Liu
Jun Zhao
61
25
0
04 Apr 2020
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot
  Intent Detection
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection
Congying Xia
Chenwei Zhang
Hoang Nguyen
Jiawei Zhang
Philip Yu
67
43
0
04 Apr 2020
Sequential Learning for Domain Generalization
Sequential Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
68
33
0
03 Apr 2020
Tracking by Instance Detection: A Meta-Learning Approach
Tracking by Instance Detection: A Meta-Learning Approach
Guangting Wang
Chong Luo
Xiaoyan Sun
Zhiwei Xiong
Wenjun Zeng
82
148
0
02 Apr 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals
Learning Agile Robotic Locomotion Skills by Imitating Animals
Xue Bin Peng
Erwin Coumans
Tingnan Zhang
T. Lee
Jie Tan
Sergey Levine
164
510
0
02 Apr 2020
Scene-Adaptive Video Frame Interpolation via Meta-Learning
Scene-Adaptive Video Frame Interpolation via Meta-Learning
Myungsub Choi
Janghoon Choi
Sungyong Baik
Tae Hyun Kim
Kyoung Mu Lee
93
46
0
02 Apr 2020
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
Luming Tang
Davis Wertheimer
B. Hariharan
77
50
0
01 Apr 2020
Editable Neural Networks
Editable Neural Networks
A. Sinitsin
Vsevolod Plokhotnyuk
Dmitriy V. Pyrkin
Sergei Popov
Artem Babenko
KELM
127
183
0
01 Apr 2020
Learning to Select Base Classes for Few-shot Classification
Learning to Select Base Classes for Few-shot Classification
Linjun Zhou
Peng Cui
Xu Jia
Shiqiang Yang
Q. Tian
94
26
0
01 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for
  Few-Shot Learning
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Jinhwan Seo
Hong G Jung
Seong-Whan Lee
SSL
72
39
0
01 Apr 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning
MetaPoison: Practical General-purpose Clean-label Data Poisoning
Wenjie Huang
Jonas Geiping
Liam H. Fowl
Gavin Taylor
Tom Goldstein
132
190
0
01 Apr 2020
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets
  without Superior Knowledge
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge
Long Zhao
Xi Peng
Yuxiao Chen
Mubbasir Kapadia
Dimitris N. Metaxas
86
66
0
01 Apr 2020
Revisiting Few-shot Activity Detection with Class Similarity Control
Revisiting Few-shot Activity Detection with Class Similarity Control
Huijuan Xu
Ximeng Sun
Eric Tzeng
Abir Das
Kate Saenko
Trevor Darrell
98
10
0
31 Mar 2020
Generative Latent Implicit Conditional Optimization when Learning from
  Small Sample
Generative Latent Implicit Conditional Optimization when Learning from Small Sample
Idan Azuri
D. Weinshall
VLMCLL
40
4
0
31 Mar 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning
DPGN: Distribution Propagation Graph Network for Few-shot Learning
Ling Yang
Liang Li
Zilun Zhang
Xinyu Zhou
Erjin Zhou
Yu Liu
107
208
0
31 Mar 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
329
567
0
30 Mar 2020
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation
Rongchang Xie
Chunyu Wang
Yizhou Wang
71
27
0
30 Mar 2020
Learning to Learn Single Domain Generalization
Learning to Learn Single Domain Generalization
Fengchun Qiao
Long Zhao
Xi Peng
OOD
132
445
0
30 Mar 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
89
27
0
29 Mar 2020
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining
Chengyu Wang
Minghui Qiu
Jun Huang
Xiaofeng He
AI4CE
101
24
0
29 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A
  Survey
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
95
20
0
29 Mar 2020
One-Shot Domain Adaptation For Face Generation
One-Shot Domain Adaptation For Face Generation
Chao Yang
Ser-Nam Lim
OODCVBM
79
40
0
28 Mar 2020
Generalizable Model-agnostic Semantic Segmentation via Target-specific
  Normalization
Generalizable Model-agnostic Semantic Segmentation via Target-specific Normalization
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
82
36
0
27 Mar 2020
One-Shot GAN Generated Fake Face Detection
One-Shot GAN Generated Fake Face Detection
Hadi Mansourifar
W. Shi
CVBM
142
10
0
27 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
Negative Margin Matters: Understanding Margin in Few-shot Classification
Bin Liu
Yue Cao
Yutong Lin
Qi Li
Zheng Zhang
Mingsheng Long
Han Hu
105
323
0
26 Mar 2020
Instance Credibility Inference for Few-Shot Learning
Instance Credibility Inference for Few-Shot Learning
Yikai Wang
C. Xu
Chen Liu
Li Zhang
Yanwei Fu
80
164
0
26 Mar 2020
On-the-Fly Adaptation of Source Code Models using Meta-Learning
Disha Shrivastava
Hugo Larochelle
Daniel Tarlow
TTA
43
6
0
26 Mar 2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through
  Context
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context
Wenyu Zhang
Skyler Seto
Devesh K. Jha
71
5
0
26 Mar 2020
Learning What to Learn for Video Object Segmentation
Learning What to Learn for Video Object Segmentation
Goutam Bhat
Felix Järemo Lawin
Martin Danelljan
Andreas Robinson
Michael Felsberg
Luc Van Gool
Radu Timofte
VOS
97
159
0
25 Mar 2020
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition
  from a Domain Adaptation Perspective
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
Muhammad Abdullah Jamal
Matthew A. Brown
Ming-Hsuan Yang
Liqiang Wang
Boqing Gong
143
267
0
24 Mar 2020
An empirical investigation of the challenges of real-world reinforcement
  learning
An empirical investigation of the challenges of real-world reinforcement learning
Gabriel Dulac-Arnold
Nir Levine
D. Mankowitz
Jerry Li
Cosmin Paduraru
Sven Gowal
Todd Hester
OffRL
105
125
0
24 Mar 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
381
674
0
23 Mar 2020
Weighted Meta-Learning
Weighted Meta-Learning
Diana Cai
Rishit Sheth
Lester W. Mackey
Nicolò Fusi
92
12
0
20 Mar 2020
Selecting Relevant Features from a Multi-domain Representation for
  Few-shot Classification
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
231
24
0
20 Mar 2020
Few-Shot Learning with Geometric Constraints
Few-Shot Learning with Geometric Constraints
Hong G Jung
Seong-Whan Lee
73
49
0
20 Mar 2020
Survey of Personalization Techniques for Federated Learning
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
234
333
0
19 Mar 2020
Domain-Adaptive Few-Shot Learning
Domain-Adaptive Few-Shot Learning
An Zhao
Mingyu Ding
Zhiwu Lu
Tao Xiang
Yulei Niu
Jiechao Guan
Ji-Rong Wen
Ping Luo
72
70
0
19 Mar 2020
XtarNet: Learning to Extract Task-Adaptive Representation for
  Incremental Few-Shot Learning
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Sung Whan Yoon
Do-Yeon Kim
Jun Seo
Jaekyun Moon
CLL
254
46
0
19 Mar 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded
  Invention of Learning Challenges and their Solutions
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang
Joel Lehman
Aditya Rawal
Jiale Zhi
Yulun Li
Jeff Clune
Kenneth O. Stanley
110
129
0
19 Mar 2020
Efficiently Calibrating Cable-Driven Surgical Robots with RGBD Fiducial
  Sensing and Recurrent Neural Networks
Efficiently Calibrating Cable-Driven Surgical Robots with RGBD Fiducial Sensing and Recurrent Neural Networks
M. Hwang
Brijen Thananjeyan
Samuel Paradis
Daniel Seita
Jeffrey Ichnowski
Danyal Fer
Thomas Low
Ken Goldberg
126
4
0
19 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma
Jiajun Bu
Jieyu Yang
Zhen Zhang
Chengwei Yao
Zhi Yu
Sheng Zhou
Xifeng Yan
72
5
0
18 Mar 2020
CAFENet: Class-Agnostic Few-Shot Edge Detection Network
CAFENet: Class-Agnostic Few-Shot Edge Detection Network
Younghyun Park
Jun Seo
Jaekyun Moon
34
1
0
18 Mar 2020
Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification
Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification
Jun Seo
Sung Whan Yoon
Jaekyun Moon
VLM
26
1
0
18 Mar 2020
Distributed and Democratized Learning: Philosophy and Research
  Challenges
Distributed and Democratized Learning: Philosophy and Research Challenges
Minh N. H. Nguyen
Shashi Raj Pandey
K. Thar
Nguyen H. Tran
Mingzhe Chen
Walid Saad
Choong Seon Hong
68
14
0
18 Mar 2020
Learning Meta Face Recognition in Unseen Domains
Learning Meta Face Recognition in Unseen Domains
Jianzhu Guo
Xiangyu Zhu
Chenxu Zhao
Dong Cao
Zhen Lei
Stan Z. Li
CVBMOOD
101
144
0
17 Mar 2020
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