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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
Teaching with Commentaries
Teaching with Commentaries
Aniruddh Raghu
M. Raghu
Simon Kornblith
David Duvenaud
Geoffrey E. Hinton
101
24
0
05 Nov 2020
Deep learning for biomedical photoacoustic imaging: A review
Deep learning for biomedical photoacoustic imaging: A review
J. Gröhl
Melanie Schellenberg
Kris K. Dreher
Lena Maier-Hein
137
196
0
05 Nov 2020
Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest
Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest
Kévin Riou
Jingwen Zhu
Suiyi Ling
Mathis Piquet
V. Truffault
P. Le Callet
112
8
0
05 Nov 2020
Transfer Meta-Learning: Information-Theoretic Bounds and Information
  Meta-Risk Minimization
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization
Sharu Theresa Jose
Osvaldo Simeone
G. Durisi
118
17
0
04 Nov 2020
Generalization to New Actions in Reinforcement Learning
Generalization to New Actions in Reinforcement Learning
Ayush Jain
Andrew Szot
Joseph J. Lim
AI4CE
94
35
0
03 Nov 2020
Specialization in Hierarchical Learning Systems
Specialization in Hierarchical Learning Systems
Heinke Hihn
Daniel A. Braun
85
16
0
03 Nov 2020
Meta-Learning for Natural Language Understanding under Continual
  Learning Framework
Meta-Learning for Natural Language Understanding under Continual Learning Framework
Jiacheng Wang
Yang Fan
Duo Jiang
Shiqing Li
CLL
26
0
0
03 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain
Meta-learning Transferable Representations with a Single Target Domain
Hong Liu
Jeff Z. HaoChen
Colin Wei
Tengyu Ma
AAML
94
5
0
03 Nov 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning
Information-theoretic Task Selection for Meta-Reinforcement Learning
Ricardo Luna Gutierrez
Matteo Leonetti
76
18
0
02 Nov 2020
Discriminative Adversarial Domain Generalization with Meta-learning
  based Cross-domain Validation
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation
Keyu Chen
Di Zhuang
Jerome Chang
OOD
53
48
0
01 Nov 2020
A Policy Gradient Algorithm for Learning to Learn in Multiagent
  Reinforcement Learning
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong-Ki Kim
Miao Liu
Matthew D Riemer
Chuangchuang Sun
Marwa Abdulhai
Golnaz Habibi
Sebastian Lopez-Cot
Gerald Tesauro
Jonathan P. How
58
56
0
31 Oct 2020
A Distribution-Dependent Analysis of Meta-Learning
A Distribution-Dependent Analysis of Meta-Learning
Mikhail Konobeev
Ilja Kuzborskij
Csaba Szepesvári
OOD
86
5
0
31 Oct 2020
Meta-Learning with Adaptive Hyperparameters
Meta-Learning with Adaptive Hyperparameters
Sungyong Baik
Myungsub Choi
Janghoon Choi
Heewon Kim
Kyoung Mu Lee
136
128
0
31 Oct 2020
Combining Domain-Specific Meta-Learners in the Parameter Space for
  Cross-Domain Few-Shot Classification
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification
Shuman Peng
Weilian Song
Martin Ester
35
3
0
31 Oct 2020
Few-Shot Complex Knowledge Base Question Answering via Meta
  Reinforcement Learning
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
Yuncheng Hua
Yuan-Fang Li
Gholamreza Haffari
Guilin Qi
Tongtong Wu
93
37
0
29 Oct 2020
Free-Form Image Inpainting via Contrastive Attention Network
Free-Form Image Inpainting via Contrastive Attention Network
Xin Ma
Xiaoqiang Zhou
Huaibo Huang
Z. Chai
Xiaolin K. Wei
Ran He
70
8
0
29 Oct 2020
Measuring and Harnessing Transference in Multi-Task Learning
Measuring and Harnessing Transference in Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
107
15
0
29 Oct 2020
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
Jiawei Zhang
Peijun Xiao
Ruoyu Sun
Zhi-Quan Luo
131
99
0
29 Oct 2020
How Does the Task Landscape Affect MAML Performance?
How Does the Task Landscape Affect MAML Performance?
Liam Collins
Aryan Mokhtari
Sanjay Shakkottai
78
4
0
27 Oct 2020
System Identification via Meta-Learning in Linear Time-Varying
  Environments
System Identification via Meta-Learning in Linear Time-Varying Environments
Sen Lin
Hang Wang
Junshan Zhang
OffRL
57
2
0
27 Oct 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured
  MaxEnt RL
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
84
95
0
27 Oct 2020
Behavior Priors for Efficient Reinforcement Learning
Behavior Priors for Efficient Reinforcement Learning
Dhruva Tirumala
Alexandre Galashov
Hyeonwoo Noh
Leonard Hasenclever
Razvan Pascanu
...
Guillaume Desjardins
Wojciech M. Czarnecki
Arun Ahuja
Yee Whye Teh
N. Heess
116
40
0
27 Oct 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
104
35
0
26 Oct 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in
  Reinforcement Learning
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Younggyo Seo
Kimin Lee
I. Clavera
Thanard Kurutach
Jinwoo Shin
Pieter Abbeel
86
39
0
26 Oct 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by
  Transferring Natural Language Inference
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
Jianguo Zhang
Kazuma Hashimoto
Wenhao Liu
Chien-Sheng Wu
Yao Wan
Philip S. Yu
R. Socher
Caiming Xiong
105
93
0
25 Oct 2020
Modeling and Optimization Trade-off in Meta-learning
Modeling and Optimization Trade-off in Meta-learning
Katelyn Gao
Ozan Sener
67
27
0
24 Oct 2020
Concealed Data Poisoning Attacks on NLP Models
Concealed Data Poisoning Attacks on NLP Models
Eric Wallace
Tony Zhao
Shi Feng
Sameer Singh
SILM
83
20
0
23 Oct 2020
TAMPC: A Controller for Escaping Traps in Novel Environments
TAMPC: A Controller for Escaping Traps in Novel Environments
Sheng Zhong
Zhenyuan Zhang
Nima Fazeli
Dmitry Berenson
76
7
0
23 Oct 2020
Few-shot Decoding of Brain Activation Maps
Few-shot Decoding of Brain Activation Maps
Myriam Bontonou
G. Lioi
Nicolas Farrugia
Vincent Gripon
171
7
0
23 Oct 2020
A Survey on Recent Approaches for Natural Language Processing in
  Low-Resource Scenarios
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich
Lukas Lange
Heike Adel
Jannik Strötgen
Dietrich Klakow
371
301
0
23 Oct 2020
Pre-training with Meta Learning for Chinese Word Segmentation
Pre-training with Meta Learning for Chinese Word Segmentation
Zhen Ke
Liang Shi
Songtao Sun
Erli Meng
Bin Wang
Xipeng Qiu
VLM
46
0
0
23 Oct 2020
One-shot Learning for Temporal Knowledge Graphs
One-shot Learning for Temporal Knowledge Graphs
Mehrnoosh Mirtaheri
Mohammad Rostami
Xiang Ren
Fred Morstatter
Aram Galstyan
111
22
0
23 Oct 2020
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
Mahesh Kumar Krishna Reddy
Mrigank Rochan
Yiwei Lu
Yang Wang
84
27
0
23 Oct 2020
Zero-Shot Learning from scratch (ZFS): leveraging local compositional
  representations
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
VLM
49
7
0
22 Oct 2020
Few-shot Image Recognition with Manifolds
Few-shot Image Recognition with Manifolds
Debasmit Das
J. Moon
C. S. George Lee
80
9
0
22 Oct 2020
Accelerating Reinforcement Learning with Learned Skill Priors
Accelerating Reinforcement Learning with Learned Skill Priors
Karl Pertsch
Youngwoon Lee
Joseph J. Lim
OffRLOnRL
124
242
0
22 Oct 2020
Restoring Negative Information in Few-Shot Object Detection
Restoring Negative Information in Few-Shot Object Detection
Yukuan Yang
Fangyun Wei
Miaojing Shi
Guoqi Li
ObjD
113
62
0
22 Oct 2020
Online Structured Meta-learning
Online Structured Meta-learning
Huaxiu Yao
Yingbo Zhou
M. Mahdavi
Z. Li
R. Socher
Caiming Xiong
90
28
0
22 Oct 2020
3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds
3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds
Lingjing Wang
Yuting Hao
Xiang Li
Yi Fang
3DPC
51
1
0
22 Oct 2020
Task-Adaptive Feature Transformer for Few-Shot Segmentation
Task-Adaptive Feature Transformer for Few-Shot Segmentation
Jun Seo
Younghyun Park
Sung Whan Yoon
Jaekyun Moon
ViT
41
5
0
22 Oct 2020
Meta-Learning Guarantees for Online Receding Horizon Learning Control
Deepan Muthirayan
Pramod P. Khargonekar
109
2
0
21 Oct 2020
Meta-trained agents implement Bayes-optimal agents
Meta-trained agents implement Bayes-optimal agents
Vladimir Mikulik
Grégoire Delétang
Tom McGrath
Tim Genewein
Miljan Martic
Shane Legg
Pedro A. Ortega
OODFedML
93
43
0
21 Oct 2020
Learning to Learn Variational Semantic Memory
Learning to Learn Variational Semantic Memory
Xiantong Zhen
Yingjun Du
Huan Xiong
Qiang Qiu
Cees G. M. Snoek
Ling Shao
SSLBDLVLMDRL
74
36
0
20 Oct 2020
Deep Low-Shot Learning for Biological Image Classification and
  Visualization from Limited Training Samples
Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples
Lei Cai
Zhengyang Wang
Robert Kulathinal
Sudhir Kumar
Shuiwang Ji
17
6
0
20 Oct 2020
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition
Yuqian Fu
Li Zhang
Junke Wang
Yanwei Fu
Yu-Gang Jiang
88
99
0
20 Oct 2020
Domain Generalized Person Re-Identification via Cross-Domain Episodic
  Learning
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning
Ci-Siang Lin
Yuan Cheng
Y. Wang
OOD
61
14
0
19 Oct 2020
Meta-learning the Learning Trends Shared Across Tasks
Meta-learning the Learning Trends Shared Across Tasks
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
51
7
0
19 Oct 2020
Unsupervised Neural Machine Translation for Low-Resource Domains via
  Meta-Learning
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
Cheonbok Park
Yunwon Tae
Taehee Kim
Soyoung Yang
Mohammad Azam Khan
Lucy Park
Jaegul Choo
155
17
0
18 Oct 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Neha Das
Sarah Bechtle
Todor Davchev
Dinesh Jayaraman
Akshara Rai
Franziska Meier
190
84
0
18 Oct 2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
Zhining Liu
Pengfei Wei
Jing Jiang
Wei Cao
Jiang Bian
Yi-Ju Chang
65
65
0
17 Oct 2020
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