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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
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event
  Detection
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
Shirong Shen
Tongtong Wu
Guilin Qi
Yuan-Fang Li
Gholamreza Haffari
Sheng Bi
71
40
0
20 May 2021
Generalized Few-Shot Object Detection without Forgetting
Generalized Few-Shot Object Detection without Forgetting
Zhibo Fan
Yuchen Ma
Zeming Li
Jian Sun
VLMObjD
134
170
0
20 May 2021
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via
  Online High-Confidence Change-Point Detection
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection
L. N. Alegre
A. Bazzan
Bruno C. da Silva
OffRL
64
23
0
20 May 2021
Graph Sanitation with Application to Node Classification
Graph Sanitation with Application to Node Classification
Zhe Xu
Boxin Du
Hanghang Tong
88
35
0
19 May 2021
Multiple Meta-model Quantifying for Medical Visual Question Answering
Multiple Meta-model Quantifying for Medical Visual Question Answering
Tuong Khanh Long Do
Binh X. Nguyen
Erman Tjiputra
Minh-Ngoc Tran
Quang-Dieu Tran
A. Nguyen
85
103
0
19 May 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate
  Prediction
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
W. Ouyang
Xiuwu Zhang
Shukui Ren
Li Li
Kun Zhang
Jinmei Luo
Zhaojie Liu
Yanlong Du
61
46
0
19 May 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity
Meta-Reinforcement Learning by Tracking Task Non-stationarity
Riccardo Poiani
Andrea Tirinzoni
Marcello Restelli
OffRL
91
10
0
18 May 2021
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition
Wenxin Hou
Hanlin Zhu
Yidong Wang
Jindong Wang
Tao Qin
Renjun Xu
T. Shinozaki
71
65
0
18 May 2021
Sample Efficient Linear Meta-Learning by Alternating Minimization
Sample Efficient Linear Meta-Learning by Alternating Minimization
K. K. Thekumparampil
Prateek Jain
Praneeth Netrapalli
Sewoong Oh
62
23
0
18 May 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of
  Recent Developments
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments
Xiaoxu Li
Xiaochen Yang
Zhanyu Ma
Jing-Hao Xue
VLM
110
127
0
17 May 2021
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot
  Learning Across Modalities
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities
Jiayi Chen
Aidong Zhang
99
16
0
17 May 2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Ning Ding
Guangwei Xu
Yulin Chen
Xiaobin Wang
Xu Han
Pengjun Xie
Haitao Zheng
Zhiyuan Liu
116
239
0
16 May 2021
CCMN: A General Framework for Learning with Class-Conditional
  Multi-Label Noise
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise
Ming-Kun Xie
Sheng-Jun Huang
NoLa
96
28
0
16 May 2021
Learning a Universal Template for Few-shot Dataset Generalization
Learning a Universal Template for Few-shot Dataset Generalization
Eleni Triantafillou
Hugo Larochelle
R. Zemel
Vincent Dumoulin
94
95
0
14 May 2021
Privacy-Preserving Constrained Domain Generalization via Gradient
  Alignment
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment
Chris Xing Tian
Haoliang Li
Yufei Wang
Shiqi Wang
74
4
0
14 May 2021
Meta-Inductive Node Classification across Graphs
Meta-Inductive Node Classification across Graphs
Zhihao Wen
Yuan Fang
Zemin Liu
94
36
0
14 May 2021
Estimating Disentangled Belief about Hidden State and Hidden Task for
  Meta-RL
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL
K. Akuzawa
Yusuke Iwasawa
Y. Matsuo
65
4
0
14 May 2021
Meta Auxiliary Learning for Facial Action Unit Detection
Meta Auxiliary Learning for Facial Action Unit Detection
Yong Li
Shiguang Shan
CVBM
53
15
0
14 May 2021
Online Algorithms and Policies Using Adaptive and Machine Learning
  Approaches
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches
Anuradha M. Annaswamy
A. Guha
Yingnan Cui
Sunbochen Tang
Peter A. Fisher
Joseph E. Gaudio
98
19
0
13 May 2021
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single
  Demonstration
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration
Edward Johns
SSL
121
131
0
13 May 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
Menghui Zhu
Minghuan Liu
Jian Shen
Zhicheng Zhang
Sheng Chen
Weinan Zhang
Deheng Ye
Yong Yu
Qiang Fu
Wei Yang
123
22
0
13 May 2021
Ensemble Making Few-Shot Learning Stronger
Ensemble Making Few-Shot Learning Stronger
Qing Lin
Yongbin Liu
Wen Wen
Z. Tao
ViT
38
12
0
12 May 2021
Exploring the Similarity of Representations in Model-Agnostic
  Meta-Learning
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning
Thomas Goerttler
Klaus Obermayer
57
4
0
12 May 2021
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild
  with Pose-Aware Contrastive Learning
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
Yang Xiao
Yuming Du
Renaud Marlet
SSL
67
23
0
12 May 2021
Few-Shot Learning by Integrating Spatial and Frequency Representation
Few-Shot Learning by Integrating Spatial and Frequency Representation
Xiangyu Chen
Guanghui Wang
90
27
0
11 May 2021
Incremental Few-Shot Instance Segmentation
Incremental Few-Shot Instance Segmentation
Dan Andrei Ganea
B. Boom
R. Poppe
CLL
94
70
0
11 May 2021
TAG: Task-based Accumulated Gradients for Lifelong learning
TAG: Task-based Accumulated Gradients for Lifelong learning
Pranshu Malviya
B. Ravindran
Sarath Chandar
CLL
143
5
0
11 May 2021
A Meta Reinforcement Learning-based Approach for Self-Adaptive System
A Meta Reinforcement Learning-based Approach for Self-Adaptive System
Mingyue Zhang
Jialong Li
Haiyan Zhao
Kenji Tei
S. Honiden
Zhi Jin
40
5
0
11 May 2021
Learning Implicit Temporal Alignment for Few-shot Video Classification
Learning Implicit Temporal Alignment for Few-shot Video Classification
Songyang Zhang
Jiale Zhou
Xuming He
AI4TS
91
45
0
11 May 2021
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start
  Users
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
Yongchun Zhu
Kaikai Ge
Fuzhen Zhuang
Ruobing Xie
Dongbo Xi
Xu-Yao Zhang
Leyu Lin
Qing He
LRM
75
113
0
11 May 2021
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic
  Survey
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey
Jinjie Ni
Tom Young
Vlad Pandelea
Fuzhao Xue
Min Zhang
225
280
0
10 May 2021
Expressing and Exploiting the Common Subgoal Structure of Classical
  Planning Domains Using Sketches: Extended Version
Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches: Extended Version
Dominik Drexler
Jendrik Seipp
Hector Geffner
43
16
0
10 May 2021
AutoDebias: Learning to Debias for Recommendation
AutoDebias: Learning to Debias for Recommendation
Jiawei Chen
Hande Dong
Yang Qiu
Xiangnan He
Xin Xin
Liang Chen
Guli Lin
Keping Yang
CML
138
207
0
10 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDLUQCVOOD
54
40
0
09 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels
MetaKernel: Learning Variational Random Features with Limited Labels
Yingjun Du
Haoliang Sun
Xiantong Zhen
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
VLMBDL
37
5
0
08 May 2021
Context-Based Soft Actor Critic for Environments with Non-stationary
  Dynamics
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
Yuan Pu
Shaochen Wang
Xin Yao
Bin Li
40
1
0
07 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications
Diffusion Mechanism in Residual Neural Network: Theory and Applications
Tangjun Wang
Zehao Dou
Chenglong Bao
Zuoqiang Shi
DiffM
79
9
0
07 May 2021
Few-Shot Learning for Image Classification of Common Flora
Few-Shot Learning for Image Classification of Common Flora
Joshua Ball
VLM
27
2
0
07 May 2021
How Fine-Tuning Allows for Effective Meta-Learning
How Fine-Tuning Allows for Effective Meta-Learning
Kurtland Chua
Qi Lei
Jason D. Lee
103
50
0
05 May 2021
Few-shot Partial Multi-view Learning
Few-shot Partial Multi-view Learning
Yuanen Zhou
Yanrong Guo
Shijie Hao
Richang Hong
Jiebo Luo
103
1
0
05 May 2021
Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal
  Representations
Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations
S. Samarakoon
Jihong Park
M. Bennis
OOD
52
4
0
04 May 2021
Effectively Leveraging Attributes for Visual Similarity
Effectively Leveraging Attributes for Visual Similarity
Samarth Mishra
Zhongping Zhang
Yuan-Chung Shen
Ranjitha Kumar
Venkatesh Saligrama
Bryan A. Plummer
81
10
0
04 May 2021
Automatic Learning to Detect Concept Drift
Automatic Learning to Detect Concept Drift
Hang Yu
Tianyu Liu
Jie Lu
Guangquan Zhang
61
11
0
04 May 2021
Personalized Algorithm Generation: A Case Study in Learning ODE
  Integrators
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators
Yue Guo
Felix Dietrich
Tom S. Bertalan
Danimir T. Doncevic
Manuel Dahmen
Ioannis G. Kevrekidis
Qianxiao Li
88
11
0
04 May 2021
Hallucination Improves Few-Shot Object Detection
Hallucination Improves Few-Shot Object Detection
Weilin Zhang
Yu-Xiong Wang
ObjD
132
113
0
04 May 2021
End-to-end One-shot Human Parsing
End-to-end One-shot Human Parsing
Haoyu He
Bohan Zhuang
Jing Zhang
Jianfei Cai
Dacheng Tao
VLM
84
8
0
04 May 2021
Machine Learning Applications for Therapeutic Tasks with Genomics Data
Machine Learning Applications for Therapeutic Tasks with Genomics Data
Kexin Huang
Cao Xiao
Lucas Glass
C. Critchlow
G. Gibson
Jimeng Sun
LM&MAVLMSyDa
57
27
0
03 May 2021
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph
  Neural Networks
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks
I. Nikoloska
Osvaldo Simeone
107
21
0
02 May 2021
Subspace Representation Learning for Few-shot Image Classification
Subspace Representation Learning for Few-shot Image Classification
Ting-Yao Hu
Zhi-Qi Cheng
Alexander G. Hauptmann
79
5
0
02 May 2021
GistNet: a Geometric Structure Transfer Network for Long-Tailed
  Recognition
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition
Bo Liu
Haoxiang Li
Hao Kang
G. Hua
Nuno Vasconcelos
CVBM
71
39
0
01 May 2021
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