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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 / 1,968 papers shown
Title
The Differentiable Cross-Entropy Method
The Differentiable Cross-Entropy Method
Brandon Amos
Denis Yarats
29
54
0
27 Sep 2019
Improving Federated Learning Personalization via Model Agnostic Meta
  Learning
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang
Jakub Konecný
Keith Rush
Sreeram Kannan
FedML
21
587
0
27 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment
RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James
Z. Ma
David Rovick Arrojo
Andrew J. Davison
SSL
VLM
OffRL
54
528
0
26 Sep 2019
Overcoming Data Limitation in Medical Visual Question Answering
Overcoming Data Limitation in Medical Visual Question Answering
Binh Duc Nguyen
Thanh-Toan Do
Binh X. Nguyen
Tuong Khanh Long Do
Erman Tjiputra
Quang-Dieu Tran
MedIm
17
145
0
26 Sep 2019
Stochastic Prototype Embeddings
Stochastic Prototype Embeddings
Tyler R. Scott
Karl Ridgeway
Michael C. Mozer
BDL
UQCV
11
14
0
25 Sep 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph
  Completion
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
Zihao Wang
K. Lai
Piji Li
Lidong Bing
W. Lam
19
32
0
25 Sep 2019
PAC Reinforcement Learning without Real-World Feedback
PAC Reinforcement Learning without Real-World Feedback
Yuren Zhong
A. Deshmukh
Clayton Scott
27
6
0
23 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
186
640
0
19 Sep 2019
Meta-Neighborhoods
Meta-Neighborhoods
Siyuan Shan
Yang Li
Junier Oliva
27
13
0
18 Sep 2019
GradNet: Gradient-Guided Network for Visual Object Tracking
GradNet: Gradient-Guided Network for Visual Object Tracking
Peixia Li
Boyu Chen
Wanli Ouyang
Dong Wang
Xiaoyun Yang
Huchuan Lu
22
237
0
15 Sep 2019
Differentially Private Meta-Learning
Differentially Private Meta-Learning
Jeffrey Li
M. Khodak
S. Caldas
Ameet Talwalkar
FedML
35
106
0
12 Sep 2019
Modular Meta-Learning with Shrinkage
Modular Meta-Learning with Shrinkage
Yutian Chen
A. Friesen
Feryal M. P. Behbahani
Arnaud Doucet
David Budden
Matthew W. Hoffman
Nando de Freitas
KELM
OffRL
23
35
0
12 Sep 2019
Learning to Propagate for Graph Meta-Learning
Learning to Propagate for Graph Meta-Learning
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
29
96
0
11 Sep 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
21
844
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
22
86
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
29
86
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
18
69
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
19
10
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
19
35
0
08 Sep 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
24
36
0
30 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
24
79
0
29 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
28
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
32
54
0
24 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
17
18
0
16 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
21
114
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
ReLM
LRM
42
8
0
13 Aug 2019
Dynamic Scale Inference by Entropy Minimization
Dynamic Scale Inference by Entropy Minimization
Dequan Wang
Evan Shelhamer
Bruno A. Olshausen
Trevor Darrell
27
7
0
08 Aug 2019
Progressive Transfer Learning
Progressive Transfer Learning
Zhengxu Yu
Long Wei
Zhongming Jin
Jianqiang Huang
Deng Cai
Xiansheng Hua
VLM
24
10
0
07 Aug 2019
Meta Learning for Task-Driven Video Summarization
Meta Learning for Task-Driven Video Summarization
Xuelong Li
Hongli Li
Yongsheng Dong
24
21
0
29 Jul 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
18
327
0
28 Jul 2019
Learnable Parameter Similarity
Learnable Parameter Similarity
Guangcong Wang
Jianhuang Lai
Wenqi Liang
Guangrun Wang
25
0
0
27 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OOD
BDL
UQCV
19
54
0
27 Jul 2019
Unsupervised Domain Adaptation via Calibrating Uncertainties
Unsupervised Domain Adaptation via Calibrating Uncertainties
Ligong Han
Yang Zou
Ruijiang Gao
Lezi Wang
Dimitris N. Metaxas
11
30
0
25 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
31
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
27
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
18
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
41
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
49
1,485
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
33
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
George Konidaris
36
356
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
93
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
25
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
16
75
0
01 Jul 2019
Few-Shot Video Classification via Temporal Alignment
Few-Shot Video Classification via Temporal Alignment
Kaidi Cao
Jingwei Ji
Zhangjie Cao
C. Chang
Juan Carlos Niebles
AI4TS
27
235
0
27 Jun 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
19
6
0
26 Jun 2019
Compositional Transfer in Hierarchical Reinforcement Learning
Compositional Transfer in Hierarchical Reinforcement Learning
Markus Wulfmeier
A. Abdolmaleki
Roland Hafner
Jost Tobias Springenberg
Michael Neunert
Tim Hertweck
Thomas Lampe
Noah Y. Siegel
N. Heess
Martin Riedmiller
27
27
0
26 Jun 2019
Learning to Interactively Learn and Assist
Learning to Interactively Learn and Assist
Mark P. Woodward
Chelsea Finn
Karol Hausman
27
33
0
24 Jun 2019
Training an Interactive Helper
Training an Interactive Helper
Mark P. Woodward
Chelsea Finn
Karol Hausman
27
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 Turner
24
241
0
18 Jun 2019
Better transfer learning with inferred successor maps
Better transfer learning with inferred successor maps
T. Madarász
11
21
0
18 Jun 2019
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