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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
Rewriting a Deep Generative Model
Rewriting a Deep Generative Model
David Bau
Steven Liu
Tongzhou Wang
Jun-Yan Zhu
Antonio Torralba
GANDRL
115
140
0
30 Jul 2020
SimPose: Effectively Learning DensePose and Surface Normals of People
  from Simulated Data
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data
Tyler Lixuan Zhu
Per Karlsson
C. Bregler
3DH
113
30
0
30 Jul 2020
Learning from Few Samples: A Survey
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLMBDL
87
54
0
30 Jul 2020
Meta-Learning with Context-Agnostic Initialisations
Meta-Learning with Context-Agnostic Initialisations
Toby Perrett
A. Masullo
T. Burghardt
Majid Mirmehdi
Dima Damen
CLL
47
2
0
29 Jul 2020
Modular Transfer Learning with Transition Mismatch Compensation for
  Excessive Disturbance Rejection
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
Tianming Wang
Wenjie Lu
H. Yu
Dikai Liu
89
1
0
29 Jul 2020
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks
Jun Shu
Yanwen Zhu
Qian Zhao
Zongben Xu
Deyu Meng
75
7
0
29 Jul 2020
Lifelong Incremental Reinforcement Learning with Online Bayesian
  Inference
Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
Zhi Wang
Chunlin Chen
D. Dong
CLLOffRL
74
56
0
28 Jul 2020
La-MAML: Look-ahead Meta Learning for Continual Learning
La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta
Karmesh Yadav
Liam Paull
CLLVLM
112
68
0
27 Jul 2020
Universality of Gradient Descent Neural Network Training
Universality of Gradient Descent Neural Network Training
G. Welper
67
8
0
27 Jul 2020
Dual Distribution Alignment Network for Generalizable Person
  Re-Identification
Dual Distribution Alignment Network for Generalizable Person Re-Identification
Peixian Chen
Pingyang Dai
Jianzhuang Liu
Feng Zheng
Q. Tian
Rongrong Ji
OOD
132
47
0
27 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation
Improving Generalization in Meta-learning via Task Augmentation
Huaxiu Yao
Long-Kai Huang
Linjun Zhang
Ying Wei
Li Tian
James Zou
Junzhou Huang
Z. Li
132
84
0
26 Jul 2020
Few-Shot Keyword Spotting With Prototypical Networks
Few-Shot Keyword Spotting With Prototypical Networks
Archit Parnami
Minwoo Lee
44
32
0
25 Jul 2020
Neural networks with late-phase weights
Neural networks with late-phase weights
J. Oswald
Seijin Kobayashi
Alexander Meulemans
Christian Henning
Benjamin Grewe
João Sacramento
94
35
0
25 Jul 2020
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning
Shen Zhang
Fei Ye
Bingnan Wang
T. Habetler
46
81
0
25 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the
  Wild
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Yang Xiao
Vincent Lepetit
Renaud Marlet
3DPC
138
324
0
23 Jul 2020
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object
  Detection
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
Xianyu Chen
Ming Jiang
Qi Zhao
ObjD
42
14
0
23 Jul 2020
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning
Youngsung Kim
Jinwoo Shin
Eunho Yang
Sung Ju Hwang
NAI
45
26
0
23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
294
338
0
22 Jul 2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning
Kaushalya Madhawa
T. Murata
AI4CE
70
8
0
22 Jul 2020
Complementing Representation Deficiency in Few-shot Image
  Classification: A Meta-Learning Approach
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
Xian Zhong
Cheng Gu
Wenxin Huang
Lin Li
Shuqin Chen
Chia-Wen Lin
SSL
41
12
0
21 Jul 2020
Domain Generalization via Optimal Transport with Metric Similarity
  Learning
Domain Generalization via Optimal Transport with Metric Similarity Learning
Fan Zhou
Zhuqing Jiang
Changjian Shui
Boyu Wang
B. Chaib-draa
OOD
107
57
0
21 Jul 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma
  Augmented Gaussian Processes
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake C. Snell
R. Zemel
113
63
0
20 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image
  Segmentation without Annotation
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
Cheng Ouyang
C. Biffi
Chen Chen
Turkay Kart
Huaqi Qiu
Daniel Rueckert
104
210
0
20 Jul 2020
One-Shot Learning for Language Modelling
One-Shot Learning for Language Modelling
Talip Uçar
Adrián González-Martín
Matthew Lee
Adrian Daniel Szwarc
32
3
0
19 Jul 2020
Meta-learning for Few-shot Natural Language Processing: A Survey
Meta-learning for Few-shot Natural Language Processing: A Survey
Wenpeng Yin
92
78
0
19 Jul 2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Jiaxi Wu
Songtao Liu
Di Huang
Yunhong Wang
ObjD
136
288
0
18 Jul 2020
CATCH: Context-based Meta Reinforcement Learning for Transferrable
  Architecture Search
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search
Xin Chen
Yawen Duan
Zewei Chen
Hang Xu
Zihao Chen
Xiaodan Liang
Tong Zhang
Zhenguo Li
OffRL
80
21
0
18 Jul 2020
MTL2L: A Context Aware Neural Optimiser
MTL2L: A Context Aware Neural Optimiser
N. Kuo
Mehrtash Harandi
Nicolas Fourrier
Christian J. Walder
Gabriela Ferraro
H. Suominen
36
0
0
18 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
Zhiqiang Tang
Yunhe Gao
Leonid Karlinsky
P. Sattigeri
Rogerio Feris
Dimitris N. Metaxas
65
58
0
17 Jul 2020
Probabilistic Active Meta-Learning
Probabilistic Active Meta-Learning
Jean Kaddour
Steindór Sæmundsson
M. Deisenroth
98
35
0
17 Jul 2020
Discovering Reinforcement Learning Algorithms
Discovering Reinforcement Learning Algorithms
Junhyuk Oh
Matteo Hessel
Wojciech M. Czarnecki
Zhongwen Xu
H. V. Hasselt
Satinder Singh
David Silver
94
129
0
17 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification
Explanation-Guided Training for Cross-Domain Few-Shot Classification
Jiamei Sun
Sebastian Lapuschkin
Wojciech Samek
Yunqing Zhao
Ngai-Man Cheung
Alexander Binder
83
90
0
17 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning
Contextualizing Enhances Gradient Based Meta Learning
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
126
3
0
17 Jul 2020
Adaptive Task Sampling for Meta-Learning
Adaptive Task Sampling for Meta-Learning
Chenghao Liu
Zhihao Wang
Doyen Sahoo
Yuan Fang
Kun Zhang
Guosheng Lin
104
55
0
17 Jul 2020
Collision Avoidance Robotics Via Meta-Learning (CARML)
Collision Avoidance Robotics Via Meta-Learning (CARML)
A. Iyer
Aravind Mahadevan
37
3
0
16 Jul 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Zhongwen Xu
H. V. Hasselt
Matteo Hessel
Junhyuk Oh
Satinder Singh
David Silver
92
78
0
16 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous
  Graphs
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
Dasol Hwang
Jinyoung Park
Sunyoung Kwon
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
103
69
0
16 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
144
1,009
0
16 Jul 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification
Layer-Wise Adaptive Updating for Few-Shot Image Classification
Yunxiao Qin
Weiguo Zhang
Zezheng Wang
Chenxu Zhao
Jingping Shi
51
7
0
16 Jul 2020
Gradient-based Hyperparameter Optimization Over Long Horizons
Gradient-based Hyperparameter Optimization Over Long Horizons
P. Micaelli
Amos Storkey
132
15
0
15 Jul 2020
Learning to Learn with Variational Information Bottleneck for Domain
  Generalization
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Yingjun Du
Jun Xu
Huan Xiong
Qiang Qiu
Xiantong Zhen
Cees G. M. Snoek
Ling Shao
BDLOOD
82
171
0
15 Jul 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot
  Learning
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning
Yikai Wang
Li Zhang
Yuan Yao
Yanwei Fu
135
44
0
15 Jul 2020
Concept Learners for Few-Shot Learning
Concept Learners for Few-Shot Learning
Kaidi Cao
Maria Brbic
J. Leskovec
VLMOffRL
92
4
0
14 Jul 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Amy Zhang
Shagun Sodhani
Khimya Khetarpal
Joelle Pineau
93
5
0
14 Jul 2020
Video Object Segmentation with Episodic Graph Memory Networks
Video Object Segmentation with Episodic Graph Memory Networks
Xinkai Lu
Wenguan Wang
Martin Danelljan
Tianfei Zhou
Jianbing Shen
Luc Van Gool
VOS
146
279
0
14 Jul 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster
  Training Without Forgetting
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
73
38
0
14 Jul 2020
Attentive Graph Neural Networks for Few-Shot Learning
Attentive Graph Neural Networks for Few-Shot Learning
Hao Cheng
Qiufeng Wang
Wee Peng Tay
Bihan Wen
43
13
0
14 Jul 2020
Top-Related Meta-Learning Method for Few-Shot Object Detection
Top-Related Meta-Learning Method for Few-Shot Object Detection
Qian Li
Nan Guo
Xiaochun Ye
Duo Wang
Xiaochun Ye
Zhimin Tang
ObjDVLM
68
0
0
14 Jul 2020
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive
  Meta-Learner
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner
Eugene Lee
E. Chen
Chen-Yi Lee
76
164
0
14 Jul 2020
Part-aware Prototype Network for Few-shot Semantic Segmentation
Part-aware Prototype Network for Few-shot Semantic Segmentation
Yongfei Liu
Xiangyi Zhang
Songyang Zhang
Xuming He
49
323
0
13 Jul 2020
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