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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017
Chelsea Finn
Pieter Abbeel
Sergey Levine
    OOD
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Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

50 / 1,593 papers shown
Title
Meta Learning for Task-Driven Video Summarization
Meta Learning for Task-Driven Video Summarization
Xuelong Li
Hongli Li
Yongsheng Dong
16
21
0
29 Jul 2019
Learnable Parameter Similarity
Learnable Parameter Similarity
Guangcong Wang
Jianhuang Lai
Wenqi Liang
Guangrun Wang
17
0
0
27 Jul 2019
Rapid trial-and-error learning with simulation supports flexible tool
  use and physical reasoning
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Kelsey R. Allen
Kevin A. Smith
J. Tenenbaum
LRM
23
108
0
22 Jul 2019
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot
  Action Recognition
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
M. Bishay
Georgios Zoumpourlis
Ioannis Patras
ViT
11
155
0
21 Jul 2019
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied
  to Asteroid Close Proximity Operations
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations
B. Gaudet
R. Linares
R. Furfaro
13
33
0
13 Jul 2019
Video Action Recognition Via Neural Architecture Searching
Video Action Recognition Via Neural Architecture Searching
Wei Peng
Xiaopeng Hong
Guoying Zhao
35
36
0
10 Jul 2019
DeepXDE: A deep learning library for solving differential equations
DeepXDE: A deep learning library for solving differential equations
Lu Lu
Xuhui Meng
Zhiping Mao
George Karniadakis
PINN
AI4CE
20
1,483
0
10 Jul 2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation
  Networks
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks
Ziliang Chen
Jingyu Zhuang
Xiaodan Liang
Liang Lin
OOD
22
83
0
08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
G. Konidaris
22
355
0
06 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
19
92
0
06 Jul 2019
On Inductive Biases in Deep Reinforcement Learning
On Inductive Biases in Deep Reinforcement Learning
Matteo Hessel
H. V. Hasselt
Joseph Modayil
David Silver
AI4CE
19
41
0
05 Jul 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Ziniu Hu
Ting-Li Chen
Kai-Wei Chang
Yizhou Sun
11
75
0
01 Jul 2019
Generalization to Novel Objects using Prior Relational Knowledge
Generalization to Novel Objects using Prior Relational Knowledge
V. Vijay
Abhinav Ganesh
Hanlin Tang
Arjun K. Bansal
GNN
11
6
0
26 Jun 2019
Training an Interactive Helper
Training an Interactive Helper
Mark P. Woodward
Chelsea Finn
Karol Hausman
17
1
0
24 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard E. Turner
16
240
0
18 Jun 2019
Meta-learning Pseudo-differential Operators with Deep Neural Networks
Meta-learning Pseudo-differential Operators with Deep Neural Networks
Jordi Feliu-Fabà
Yuwei Fan
Lexing Ying
9
39
0
16 Jun 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation
  Classification
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
Zhiquan Ye
Zhenhua Ling
13
134
0
16 Jun 2019
Learning to Forget for Meta-Learning
Learning to Forget for Meta-Learning
Sungyong Baik
Seokil Hong
Kyoung Mu Lee
CLL
KELM
11
87
0
13 Jun 2019
Compositional generalization through meta sequence-to-sequence learning
Compositional generalization through meta sequence-to-sequence learning
Brenden Lake
CoGe
25
196
0
12 Jun 2019
Meta-Learning via Learned Loss
Meta-Learning via Learned Loss
Sarah Bechtle
Artem Molchanov
Yevgen Chebotar
Edward Grefenstette
Ludovic Righetti
Gaurav Sukhatme
Franziska Meier
11
110
0
12 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision
Boosting Few-Shot Visual Learning with Self-Supervision
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
17
400
0
12 Jun 2019
Weight Agnostic Neural Networks
Weight Agnostic Neural Networks
Adam Gaier
David R Ha
OOD
24
239
0
11 Jun 2019
Progressive Cluster Purification for Transductive Few-shot Learning
Progressive Cluster Purification for Transductive Few-shot Learning
Chenyang Si
Wentao Chen
Wei Wang
Liang Wang
T. Tan
VLM
19
1
0
10 Jun 2019
Reducing the variance in online optimization by transporting past
  gradients
Reducing the variance in online optimization by transporting past gradients
Sébastien M. R. Arnold
Pierre-Antoine Manzagol
Reza Babanezhad
Ioannis Mitliagkas
Nicolas Le Roux
9
28
0
08 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
17
59
0
07 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods
Adaptive Gradient-Based Meta-Learning Methods
M. Khodak
Maria-Florina Balcan
Ameet Talwalkar
FedML
11
353
0
06 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural
  Scene Representations
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann
Michael Zollhoefer
Gordon Wetzstein
3DPC
3DV
53
1,264
0
04 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning
  Generalization
The Principle of Unchanged Optimality in Reinforcement Learning Generalization
A. Irpan
Xingyou Song
OffRL
19
7
0
02 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation
Learning to Transfer: Unsupervised Meta Domain Translation
Jianxin Lin
Yijun Wang
Tianyu He
Zhibo Chen
13
8
0
01 Jun 2019
Towards Finding Longer Proofs
Towards Finding Longer Proofs
Zsolt Zombori
Adrián Csiszárik
Henryk Michalewski
C. Kaliszyk
Josef Urban
OffRL
LRM
19
15
0
30 May 2019
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts
  and Improve Classification
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification
Léonard Boussioux
Tomás Giro-Larraz
Charles Guille-Escuret
Mehdi Cherti
Balázs Kégl
15
1
0
30 May 2019
Adaptive Deep Kernel Learning
Adaptive Deep Kernel Learning
Prudencio Tossou
Basile Dura
François Laviolette
M. Marchand
Alexandre Lacoste
19
29
0
28 May 2019
Image Deformation Meta-Networks for One-Shot Learning
Image Deformation Meta-Networks for One-Shot Learning
Z. Chen
Yanwei Fu
Yu-xiong Wang
Lin Ma
Wei Liu
M. Hebert
13
217
0
28 May 2019
Learning to learn via Self-Critique
Learning to learn via Self-Critique
Antreas Antoniou
Amos Storkey
SSL
21
17
0
24 May 2019
Personalizing Dialogue Agents via Meta-Learning
Personalizing Dialogue Agents via Meta-Learning
Zhaojiang Lin
Andrea Madotto
Chien-Sheng Wu
Pascale Fung
16
178
0
24 May 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Egor Zakharov
Aliaksandra Shysheya
Egor Burkov
Victor Lempitsky
3DH
42
625
0
20 May 2019
Meta reinforcement learning as task inference
Meta reinforcement learning as task inference
Jan Humplik
Alexandre Galashov
Leonard Hasenclever
Pedro A. Ortega
Yee Whye Teh
N. Heess
OffRL
13
127
0
15 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
Huaiyu Li
Weiming Dong
Xing Mei
Chongyang Ma
Feiyue Huang
Bao-Gang Hu
OffRL
16
98
0
15 May 2019
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
19
169
0
10 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot
  Learning on Category Graph
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
Lu Liu
Tianyi Zhou
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
16
71
0
10 May 2019
Meta-learning of Sequential Strategies
Meta-learning of Sequential Strategies
Pedro A. Ortega
Jane X. Wang
Mark Rowland
Tim Genewein
Z. Kurth-Nelson
...
Yee Whye Teh
H. V. Hasselt
Nando de Freitas
M. Botvinick
Shane Legg
OffRL
17
96
0
08 May 2019
Few-Shot Adaptive Gaze Estimation
Few-Shot Adaptive Gaze Estimation
Seonwook Park
Shalini De Mello
Pavlo Molchanov
Umar Iqbal
Otmar Hilliges
Jan Kautz
25
193
0
06 May 2019
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing
Yunxiao Qin
Chenxu Zhao
Xiangyu Zhu
Zezheng Wang
Zitong Yu
Tianyu Fu
Feng Zhou
Jingping Shi
Zhen Lei
CVBM
16
115
0
29 Apr 2019
Domain Agnostic Learning with Disentangled Representations
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng
Zijun Huang
Ximeng Sun
Kate Saenko
OOD
DRL
15
258
0
28 Apr 2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical
  Images
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
Junsik Kim
Tae-Hyun Oh
Seokju Lee
Fei Pan
In So Kweon
DRL
22
73
0
17 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
25
128
0
17 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
22
1,131
0
10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer
Bharath Hariharan
19
140
0
09 Apr 2019
A Closer Look at Few-shot Classification
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
11
1,751
0
08 Apr 2019
Learning to Adapt for Stereo
Learning to Adapt for Stereo
A. Tonioni
Oscar Rahnama
Thomas Joy
Luigi Di Stefano
Thalaiyasingam Ajanthan
Philip H. S. Torr
11
83
0
05 Apr 2019
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