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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
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators
Yongseok Choi
Junyoung Park
Subin Yi
D.-Y. Cho
OOD
30
0
0
11 Sep 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
250
859
0
10 Sep 2019
Discovery of Useful Questions as Auxiliary Tasks
Discovery of Useful Questions as Auxiliary Tasks
Vivek Veeriah
Matteo Hessel
Zhongwen Xu
Richard L. Lewis
Janarthanan Rajendran
Junhyuk Oh
H. V. Hasselt
David Silver
Satinder Singh
LLMAG
81
85
0
10 Sep 2019
A Meta-Learning Framework for Generalized Zero-Shot Learning
A Meta-Learning Framework for Generalized Zero-Shot Learning
Vinay Kumar Verma
Dhanajit Brahma
Piyush Rai
BDLDiffMVLM
75
19
0
10 Sep 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning
PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu
Yuwei Li
Lihua Guo
Kui Jia
75
88
0
10 Sep 2019
Bayesian Relational Memory for Semantic Visual Navigation
Bayesian Relational Memory for Semantic Visual Navigation
Yi Wu
Yuxin Wu
Aviv Tamar
Stuart J. Russell
Georgia Gkioxari
Yuandong Tian
BDL
128
105
0
10 Sep 2019
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label
  Classification
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
Jiawei Wu
Wenhan Xiong
William Yang Wang
72
71
0
09 Sep 2019
Meta-learnt priors slow down catastrophic forgetting in neural networks
Meta-learnt priors slow down catastrophic forgetting in neural networks
G. Spigler
CLL
53
10
0
09 Sep 2019
Policy Space Identification in Configurable Environments
Policy Space Identification in Configurable Environments
Alberto Maria Metelli
G. Manneschi
Marcello Restelli
58
11
0
09 Sep 2019
Countering the Effects of Lead Bias in News Summarization via
  Multi-Stage Training and Auxiliary Losses
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Matt Grenander
Yue Dong
Jackie C.K. Cheung
Annie Louis
79
36
0
08 Sep 2019
Episode-based Prototype Generating Network for Zero-Shot Learning
Episode-based Prototype Generating Network for Zero-Shot Learning
YunLong Yu
Zhong Ji
Zhongfei Zhang
Jungong Han
VLM
82
145
0
08 Sep 2019
Transferable Neural Processes for Hyperparameter Optimization
Transferable Neural Processes for Hyperparameter Optimization
Ying Wei
P. Zhao
Huaxiu Yao
Junzhou Huang
BDL
52
8
0
07 Sep 2019
A Baseline for Few-Shot Image Classification
A Baseline for Few-Shot Image Classification
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
136
584
0
06 Sep 2019
Efficient Automatic Meta Optimization Search for Few-Shot Learning
Efficient Automatic Meta Optimization Search for Few-Shot Learning
Xinyue Zheng
Peng Wang
Qigang Wang
Zhongchao Shi
Feiyu Xu
26
0
0
06 Sep 2019
Learning Action-Transferable Policy with Action Embedding
Learning Action-Transferable Policy with Action Embedding
Yu Chen
Yingfeng Chen
Zhipeng Hu
Tianpei Yang
Changjie Fan
Yang Yu
Jianye Hao
86
0
0
05 Sep 2019
Meta Learning with Relational Information for Short Sequences
Meta Learning with Relational Information for Short Sequences
Yujia Xie
Haoming Jiang
Feng Liu
T. Zhao
H. Zha
86
14
0
04 Sep 2019
Towards Realistic Practices In Low-Resource Natural Language Processing:
  The Development Set
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set
Katharina Kann
Kyunghyun Cho
Samuel R. Bowman
60
44
0
04 Sep 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge
  Graphs
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Yin Hua
Wen Zhang
Wei Zhang
Qiang Chen
Huajun Chen
KELM
148
188
0
04 Sep 2019
Generalization in Transfer Learning
Generalization in Transfer Learning
S. E. Ada
Emre Ugur
H. L. Akin
72
18
0
03 Sep 2019
Out-of-Domain Detection for Low-Resource Text Classification Tasks
Out-of-Domain Detection for Low-Resource Text Classification Tasks
Ming Tan
Yang Yu
Haoyu Wang
Dakuo Wang
Saloni Potdar
Shiyu Chang
Mo Yu
OODD
78
58
0
31 Aug 2019
Meta-Learning with Warped Gradient Descent
Meta-Learning with Warped Gradient Descent
Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
R. Hadsell
110
210
0
30 Aug 2019
Exploring Domain Shift in Extractive Text Summarization
Exploring Domain Shift in Extractive Text Summarization
Danqing Wang
Pengfei Liu
Ming Zhong
Jie Fu
Xipeng Qiu
Xuanjing Huang
75
36
0
30 Aug 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over
  Few-Shot Relations
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
Xin Lv
Yuxian Gu
Xu Han
Lei Hou
Juan-Zi Li
Zhiyuan Liu
LRM
84
88
0
30 Aug 2019
Learning to Transfer Learn: Reinforcement Learning-Based Selection for
  Adaptive Transfer Learning
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning
Linchao Zhu
Sercan O. Arik
Yezhou Yang
Tomas Pfister
76
5
0
29 Aug 2019
Neural Snowball for Few-Shot Relation Learning
Neural Snowball for Few-Shot Relation Learning
Tianyu Gao
Xu Han
Ruobing Xie
Zhiyuan Liu
Fen Lin
Leyu Lin
Maosong Sun
104
79
0
29 Aug 2019
Deep Learning Theory Review: An Optimal Control and Dynamical Systems
  Perspective
Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective
Guan-Horng Liu
Evangelos A. Theodorou
AI4CE
121
72
0
28 Aug 2019
Investigating Meta-Learning Algorithms for Low-Resource Natural Language
  Understanding Tasks
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
Zi-Yi Dou
Keyi Yu
Antonios Anastasopoulos
71
127
0
27 Aug 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning
  Algorithms
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
Alireza Fallah
Aryan Mokhtari
Asuman Ozdaglar
143
225
0
27 Aug 2019
Large-Scale Historical Watermark Recognition: dataset and a new
  consistency-based approach
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Xi Shen
Ilaria Pastrolin
Oumayma Bounou
Spyros Gidaris
Marc Smith
Olivier Poncet
Mathieu Aubry
31
16
0
27 Aug 2019
Learning Continually from Low-shot Data Stream
Learning Continually from Low-shot Data Stream
Canyu Le
Xihan Wei
Biao Wang
L. Zhang
Zhonggui Chen
CLL
24
3
0
27 Aug 2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with
  Meta-Learning
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning
Zhijun Mai
Guosheng Hu
Dexiong Chen
Fumin Shen
Heng Tao Shen
60
43
0
27 Aug 2019
An Introduction to Advanced Machine Learning : Meta Learning Algorithms,
  Applications and Promises
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
F. Mohammadi
M. Amini
H. Arabnia
OffRL
65
22
0
26 Aug 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data
Dylan Slack
Sorelle A. Friedler
Emile Givental
FaML
118
55
0
24 Aug 2019
Self-reinforcing Unsupervised Matching
Self-reinforcing Unsupervised Matching
Jiang Lu
Lei Li
Changshui Zhang
54
5
0
23 Aug 2019
When Low Resource NLP Meets Unsupervised Language Model:
  Meta-pretraining Then Meta-learning for Few-shot Text Classification
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification
Shumin Deng
Ningyu Zhang
Zhanlin Sun
Jiaoyan Chen
Huajun Chen
VLM
79
45
0
22 Aug 2019
P2L: Predicting Transfer Learning for Images and Semantic Relations
P2L: Predicting Transfer Learning for Images and Semantic Relations
Bishwaranjan Bhattacharjee
J. Kender
Matthew Q. Hill
Parijat Dube
Siyu Huo
Michael R. Glass
Brian M. Belgodere
Sharath Pankanti
Noel Codella
Patrick Watson
VLM
83
13
0
20 Aug 2019
Transferring Robustness for Graph Neural Network Against Poisoning
  Attacks
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
P. Mitra
Suhang Wang
OODAAML
122
184
0
20 Aug 2019
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
Kaixin Wang
Jun Hao Liew
Yingtian Zou
Daquan Zhou
Jiashi Feng
VLM
86
1,078
0
18 Aug 2019
Task-Assisted Domain Adaptation with Anchor Tasks
Task-Assisted Domain Adaptation with Anchor Tasks
Zhizhong Li
Linjie Luo
Sergey Tulyakov
Qieyun Dai
Derek Hoiem
CVBM
71
0
0
16 Aug 2019
Continuous Relaxation of Symbolic Planner for One-Shot Imitation
  Learning
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning
De-An Huang
Danfei Xu
Yuke Zhu
Animesh Garg
Silvio Savarese
Fei-Fei Li
Juan Carlos Niebles
CLL
153
18
0
16 Aug 2019
Few-shot Text Classification with Distributional Signatures
Few-shot Text Classification with Distributional Signatures
Yujia Bao
Menghua Wu
Shiyu Chang
Regina Barzilay
94
169
0
16 Aug 2019
Skill Transfer in Deep Reinforcement Learning under Morphological
  Heterogeneity
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity
Yang Hu
Giovanni Montana
57
6
0
14 Aug 2019
Few-Shot Learning with Global Class Representations
Few-Shot Learning with Global Class Representations
Tiange Luo
Aoxue Li
Tao Xiang
Weiran Huang
Liwei Wang
125
114
0
14 Aug 2019
Memory-Based Neighbourhood Embedding for Visual Recognition
Memory-Based Neighbourhood Embedding for Visual Recognition
Suichan Li
Dapeng Chen
B. Liu
Nenghai Yu
Rui Zhao
132
39
0
14 Aug 2019
Meta Reasoning over Knowledge Graphs
Meta Reasoning over Knowledge Graphs
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
ReLMLRM
75
8
0
13 Aug 2019
Inverse Rational Control with Partially Observable Continuous Nonlinear
  Dynamics
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
Saurabh Daptardar
Paul Schrater
Xaq Pitkow
76
39
0
13 Aug 2019
Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in
  Human-Robot Interaction
Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human-Robot Interaction
Yuan Gao
E. Sibirtseva
Ginevra Castellano
Danica Kragic
69
21
0
12 Aug 2019
Recognizing Part Attributes with Insufficient Data
Recognizing Part Attributes with Insufficient Data
Xiangyu Zhao
Yi Yang
Feng Zhou
Xiao Tan
Yuchen Yuan
Sid Ying-Ze Bao
Ying Nian Wu
51
20
0
09 Aug 2019
Dynamic Scale Inference by Entropy Minimization
Dynamic Scale Inference by Entropy Minimization
Dequan Wang
Evan Shelhamer
Bruno A. Olshausen
Trevor Darrell
153
7
0
08 Aug 2019
Progressive Transfer Learning
Progressive Transfer Learning
Zhengxu Yu
Long Wei
Zhongming Jin
Jianqiang Huang
Deng Cai
Xiansheng Hua
VLM
58
10
0
07 Aug 2019
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