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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
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Erdun Gao
Fan Feng
Chaochao Lu
Sara Magliacane
Kun Zhang
111
69
0
06 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality
  Reduction
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction
M. Mendez-Ruiz
Jorge Gonzalez-Zapata
Gilberto Ochoa-Ruiz
Andres Mendez-Vazquez
73
1
0
06 Jul 2021
Meta-Reinforcement Learning for Heuristic Planning
Meta-Reinforcement Learning for Heuristic Planning
Ricardo Luna Gutierrez
Matteo Leonetti
OffRLAIFin
68
4
0
06 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on
  Tasks
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
Jun Shu
Deyu Meng
Zongben Xu
79
8
0
06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
93
1
0
05 Jul 2021
A Survey on Deep Learning Event Extraction: Approaches and Applications
A Survey on Deep Learning Event Extraction: Approaches and Applications
Qian Li
Jianxin Li
Shuaiyi Nie
Shiyao Cui
Hongzhi Zhang
...
Hao Peng
Shu Guo
Lihong Wang
Amin Beheshti
Philip S. Yu
119
48
0
05 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Rui Wang
Rose Yu
AI4CEPINN
135
69
0
02 Jul 2021
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre
  Optimization
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
Qing Guo
Junya Chen
Dong Wang
Yuewei Yang
Xinwei Deng
Lawrence Carin
Fan Li
Jing-Zheng Huang
Chenyang Tao
93
21
0
02 Jul 2021
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural
  Architecture Search
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search
S. M. Marvasti-Zadeh
Javad Khaghani
Li Cheng
Hossein Ghanei-Yakhdan
S. Kasaei
61
3
0
02 Jul 2021
Memory Efficient Meta-Learning with Large Images
Memory Efficient Meta-Learning with Large Images
J. Bronskill
Daniela Massiceti
Massimiliano Patacchiola
Katja Hofmann
Sebastian Nowozin
Richard Turner
VLM
79
20
0
02 Jul 2021
Supervised Contrastive Learning for Accented Speech Recognition
Supervised Contrastive Learning for Accented Speech Recognition
Tao Han
Hantao Huang
Ziang Yang
Wei Han
68
16
0
02 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee
Eunyoung Hyung
Sung Ju Hwang
106
43
0
02 Jul 2021
Few-shot Learning for Unsupervised Feature Selection
Few-shot Learning for Unsupervised Feature Selection
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
SSL
58
3
0
02 Jul 2021
Meta-Learning for Relative Density-Ratio Estimation
Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
151
10
0
02 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters
Cross-domain Few-shot Learning with Task-specific Adapters
Weihong Li
Xialei Liu
Hakan Bilen
OOD
129
118
0
01 Jul 2021
Few-Shot Learning with a Strong Teacher
Few-Shot Learning with a Strong Teacher
Han-Jia Ye
Lu Ming
De-Chuan Zhan
Wei-Lun Chao
108
54
0
01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification
How to Train Your MAML to Excel in Few-Shot Classification
Han-Jia Ye
Wei-Lun Chao
115
50
0
30 Jun 2021
Resilient UAV Swarm Communications with Graph Convolutional Neural
  Network
Resilient UAV Swarm Communications with Graph Convolutional Neural Network
Zhiyu Mou
Fei Gao
Jun Liu
Qi-hui Wu
65
29
0
30 Jun 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A
  Hierarchical Nested Personalized Federated Learning Approach
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
Su Wang
Seyyedali Hosseinalipour
M. Gorlatova
Christopher G. Brinton
M. Chiang
112
40
0
29 Jun 2021
A Representation Learning Perspective on the Importance of
  Train-Validation Splitting in Meta-Learning
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
Nikunj Saunshi
Arushi Gupta
Wei Hu
SSL
110
17
0
29 Jun 2021
Few-Shot Electronic Health Record Coding through Graph Contrastive
  Learning
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
Shanshan Wang
Fajie Yuan
Zhumin Chen
Zhaochun Ren
Huasheng Liang
Qiang Yan
Evangelos Kanoulas
Maarten de Rijke
54
5
0
29 Jun 2021
MAML is a Noisy Contrastive Learner in Classification
MAML is a Noisy Contrastive Learner in Classification
Chia-Hsiang Kao
Wei-Chen Chiu
Pin-Yu Chen
48
17
0
29 Jun 2021
Representation based meta-learning for few-shot spoken intent
  recognition
Representation based meta-learning for few-shot spoken intent recognition
Ashish R. Mittal
Samarth Bharadwaj
Shreya Khare
Saneem A. Chemmengath
Karthik Sankaranarayanan
Brian Kingsbury
69
12
0
29 Jun 2021
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity
  Recognition
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
Meihan Tong
Shuai Wang
Bin Xu
Yixin Cao
Minghui Liu
Lei Hou
Juan-Zi Li
119
53
0
29 Jun 2021
Meta-learning for Matrix Factorization without Shared Rows or Columns
Meta-learning for Matrix Factorization without Shared Rows or Columns
Tomoharu Iwata
47
1
0
29 Jun 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and
  Partial Modality Absent Few-Shot Learning
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Yi Zhang
Sheng Huang
Xiao-song Peng
Dan Yang
84
9
0
28 Jun 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLLSSLVLM
181
309
0
28 Jun 2021
Few-Shot Domain Expansion for Face Anti-Spoofing
Few-Shot Domain Expansion for Face Anti-Spoofing
Bowen Yang
Jing Zhang
Zhen-fei Yin
Jing Shao
CVBM
70
12
0
27 Jun 2021
Tighter Analysis of Alternating Stochastic Gradient Method for
  Stochastic Nested Problems
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems
Tianyi Chen
Yuejiao Sun
W. Yin
84
33
0
25 Jun 2021
Subgraph Federated Learning with Missing Neighbor Generation
Subgraph Federated Learning with Missing Neighbor Generation
Ke Zhang
Carl Yang
Xiaoxiao Li
Lichao Sun
Siu-Ming Yiu
FedML
114
177
0
25 Jun 2021
Generative Modeling for Multi-task Visual Learning
Generative Modeling for Multi-task Visual Learning
Zhipeng Bao
M. Hebert
Yu-Xiong Wang
64
17
0
25 Jun 2021
Unifying Gradient Estimators for Meta-Reinforcement Learning via
  Off-Policy Evaluation
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Yunhao Tang
Tadashi Kozuno
Mark Rowland
Rémi Munos
Michal Valko
OffRL
136
9
0
24 Jun 2021
Continual Novelty Detection
Continual Novelty Detection
Rahaf Aljundi
Daniel Olmeda Reino
N. Chumerin
Richard Turner
47
12
0
24 Jun 2021
Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated
  Scenes
Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes
Benjamin Keltjens
T. V. Dijk
Guido de Croon
MDE
73
3
0
24 Jun 2021
Online Verification of Deep Neural Networks under Domain Shift or
  Network Updates
Online Verification of Deep Neural Networks under Domain Shift or Network Updates
Tianhao Wei
Changliu Liu
40
0
0
24 Jun 2021
Mutual-Information Based Few-Shot Classification
Mutual-Information Based Few-Shot Classification
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Pablo Piantanida
VLM
76
2
0
23 Jun 2021
Imitation Learning: Progress, Taxonomies and Challenges
Imitation Learning: Progress, Taxonomies and Challenges
Boyuan Zheng
Sunny Verma
Jianlong Zhou
Ivor Tsang
Fang Chen
171
89
0
23 Jun 2021
Multimodal Emergent Fake News Detection via Meta Neural Process Networks
Multimodal Emergent Fake News Detection via Meta Neural Process Networks
Yaqing Wang
Fenglong Ma
Haoyu Wang
Kishlay Jha
Jing Gao
131
61
0
22 Jun 2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth
  Images
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
Shaofei Wang
Marko Mihajlovic
Qianli Ma
Andreas Geiger
Siyu Tang
3DH
88
100
0
22 Jun 2021
Off-Policy Reinforcement Learning with Delayed Rewards
Off-Policy Reinforcement Learning with Delayed Rewards
Beining Han
Zhizhou Ren
Zuofan Wu
Yuanshuo Zhou
Jian-wei Peng
OffRL
73
33
0
22 Jun 2021
Multi-accent Speech Separation with One Shot Learning
Multi-accent Speech Separation with One Shot Learning
Kuan-Po Huang
Yuan-Kuei Wu
Hung-yi Lee
106
4
0
22 Jun 2021
Long-term Cross Adversarial Training: A Robust Meta-learning Method for
  Few-shot Classification Tasks
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks
Fan Liu
Shuyu Zhao
Xuelong Dai
Bin Xiao
VLM
93
8
0
22 Jun 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction
  for Few-Shot Classification
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
Dong Lee
Sae-Young Chung
97
20
0
22 Jun 2021
Compositional federated learning: Applications in distributionally
  robust averaging and meta learning
Compositional federated learning: Applications in distributionally robust averaging and meta learning
Feihu Huang
Junyi Li
FedML
73
15
0
21 Jun 2021
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot
  Video Classification
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification
Andrés Villa
Juan-Manuel Perez-Rua
Victor Escorcia
Vladimir Araujo
Juan Carlos Niebles
Alvaro Soto
71
0
0
21 Jun 2021
Graceful Degradation and Related Fields
Graceful Degradation and Related Fields
J. Dymond
79
4
0
21 Jun 2021
Trinity: A No-Code AI platform for complex spatial datasets
Trinity: A No-Code AI platform for complex spatial datasets
C. V. K. Iyer
Feili Hou
Henry Wang
Yonghong Wang
Kay Oh
Swetava Ganguli
Vipul Pandey
SyDa
84
23
0
21 Jun 2021
Trainable Class Prototypes for Few-Shot Learning
Trainable Class Prototypes for Few-Shot Learning
Jianyi Li
Guizhong Liu
VLM
49
2
0
21 Jun 2021
ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
Guoqiang Wei
Cuiling Lan
Wenjun Zeng
Zhizheng Zhang
Zhibo Chen
108
61
0
21 Jun 2021
iDARTS: Differentiable Architecture Search with Stochastic Implicit
  Gradients
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang
Steven W. Su
Shirui Pan
Xiaojun Chang
Ehsan Abbasnejad
Reza Haffari
110
69
0
21 Jun 2021
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