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How to train your MAML
v1v2v3 (latest)

How to train your MAML

22 October 2018
Antreas Antoniou
Harrison Edwards
Amos Storkey
ArXiv (abs)PDFHTML

Papers citing "How to train your MAML"

50 / 398 papers shown
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory
  Controllers
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers
Tharindu Fernando
Akila Pemasiri
Sridha Sridharan
Clinton Fookes
164
0
0
10 Nov 2020
Meta-Learning with Adaptive Hyperparameters
Meta-Learning with Adaptive HyperparametersNeural Information Processing Systems (NeurIPS), 2020
Sungyong Baik
Myungsub Choi
Janghoon Choi
Heewon Kim
Kyoung Mu Lee
339
146
0
31 Oct 2020
How Does the Task Landscape Affect MAML Performance?
How Does the Task Landscape Affect MAML Performance?
Liam Collins
Aryan Mokhtari
Sanjay Shakkottai
349
4
0
27 Oct 2020
Few-shot Decoding of Brain Activation Maps
Few-shot Decoding of Brain Activation MapsEuropean Signal Processing Conference (EUSIPCO), 2020
Myriam Bontonou
G. Lioi
Nicolas Farrugia
Vincent Gripon
316
7
0
23 Oct 2020
Meta-learning the Learning Trends Shared Across Tasks
Meta-learning the Learning Trends Shared Across TasksBritish Machine Vision Conference (BMVC), 2020
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
113
9
0
19 Oct 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic
  Parsing
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
Xilun Chen
Asish Ghoshal
Yashar Mehdad
Luke Zettlemoyer
S. Gupta
202
95
0
07 Oct 2020
A Survey of Deep Meta-Learning
A Survey of Deep Meta-Learning
Mike Huisman
Jan N. van Rijn
Aske Plaat
401
376
0
07 Oct 2020
Deep Transformers with Latent Depth
Deep Transformers with Latent DepthNeural Information Processing Systems (NeurIPS), 2020
Xian Li
Asa Cooper Stickland
Yuqing Tang
X. Kong
140
28
0
28 Sep 2020
A Primal-Dual Subgradient Approachfor Fair Meta Learning
A Primal-Dual Subgradient Approachfor Fair Meta Learning
Chenxu Zhao
Feng Chen
Zhuoyi Wang
Latifur Khan
FaML
147
0
0
26 Sep 2020
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control
Ibrahim Ahmed
Marcos Quiñones-Grueiro
G. Biswas
115
10
0
26 Sep 2020
Unfairness Discovery and Prevention For Few-Shot Regression
Unfairness Discovery and Prevention For Few-Shot Regression
Chengli Zhao
Feng Chen
143
23
0
23 Sep 2020
Fair Meta-Learning For Few-Shot Classification
Fair Meta-Learning For Few-Shot Classification
Chengli Zhao
Changbin Li
Jincheng Li
Feng Chen
FaML
139
27
0
23 Sep 2020
Sparse Meta Networks for Sequential Adaptation and its Application to
  Adaptive Language Modelling
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling
Tsendsuren Munkhdalai
CLLOffRL
189
5
0
03 Sep 2020
Few-shot Classification via Adaptive Attention
Few-shot Classification via Adaptive Attention
Zihang Jiang
Bingyi Kang
Kuangqi Zhou
Jiashi Feng
202
25
0
06 Aug 2020
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Meta-DRN: Meta-Learning for 1-Shot Image SegmentationIEEE India Conference (INDICON), 2020
Atmadeep Banerjee
SSegVLM
159
5
0
01 Aug 2020
Meta-Learning with Context-Agnostic Initialisations
Meta-Learning with Context-Agnostic InitialisationsAsian Conference on Computer Vision (ACCV), 2020
Toby Perrett
A. Masullo
T. Burghardt
Majid Mirmehdi
Dima Damen
CLL
133
2
0
29 Jul 2020
Lifelong Incremental Reinforcement Learning with Online Bayesian
  Inference
Lifelong Incremental Reinforcement Learning with Online Bayesian InferenceIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhi Wang
Chunlin Chen
D. Dong
CLLOffRL
256
61
0
28 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation
Improving Generalization in Meta-learning via Task AugmentationInternational Conference on Machine Learning (ICML), 2020
Huaxiu Yao
Long-Kai Huang
Linjun Zhang
Ying Wei
Li Tian
James Zou
Junzhou Huang
Ruoyao Xiao
358
93
0
26 Jul 2020
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-LearningIEEE transactions on industry applications (IEEE TIA), 2020
Shen Zhang
Fei Ye
Bingnan Wang
T. Habetler
191
105
0
25 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning
Contextualizing Enhances Gradient Based Meta LearningIEEE Conference on High Performance Extreme Computing (HPEC), 2020
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
191
3
0
17 Jul 2020
Adaptive Task Sampling for Meta-Learning
Adaptive Task Sampling for Meta-LearningEuropean Conference on Computer Vision (ECCV), 2020
Chenghao Liu
Zhihao Wang
Doyen Sahoo
Yuan Fang
Kun Zhang
Guosheng Lin
310
60
0
17 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous
  Graphs
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous GraphsNeural Information Processing Systems (NeurIPS), 2020
Dasol Hwang
Jinyoung Park
Sunyoung Kwon
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
263
76
0
16 Jul 2020
Concept Learners for Few-Shot Learning
Concept Learners for Few-Shot Learning
Kaidi Cao
Maria Brbic
J. Leskovec
VLMOffRL
234
5
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
188
0
0
14 Jul 2020
Submodular Meta-Learning
Submodular Meta-LearningNeural Information Processing Systems (NeurIPS), 2020
Arman Adibi
Aryan Mokhtari
Hamed Hassani
CLL
185
5
0
11 Jul 2020
Meta-Learning Requires Meta-Augmentation
Meta-Learning Requires Meta-AugmentationNeural Information Processing Systems (NeurIPS), 2020
Janarthanan Rajendran
A. Irpan
Eric Jang
227
105
0
10 Jul 2020
Meta-Learning Symmetries by Reparameterization
Meta-Learning Symmetries by Reparameterization
Allan Zhou
Tom Knowles
Chelsea Finn
OOD
304
104
0
06 Jul 2020
MPLP: Learning a Message Passing Learning Protocol
MPLP: Learning a Message Passing Learning Protocol
E. Randazzo
Eyvind Niklasson
A. Mordvintsev
156
4
0
02 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods
On the Outsized Importance of Learning Rates in Local Update Methods
Zachary B. Charles
Jakub Konecný
FedML
214
57
0
02 Jul 2020
Meta Learning in the Continuous Time Limit
Meta Learning in the Continuous Time Limit
Ruitu Xu
Lin Chen
Amin Karbasi
141
15
0
19 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for
  Meta-Learning
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Sungyong Seo
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
AI4CE
331
10
0
15 Jun 2020
Multi-step Estimation for Gradient-based Meta-learning
Multi-step Estimation for Gradient-based Meta-learning
Jin-Hwa Kim
Junyoung Park
Yongseok Choi
141
1
0
08 Jun 2020
Towards Context-Agnostic Learning Using Synthetic Data
Towards Context-Agnostic Learning Using Synthetic DataNeural Information Processing Systems (NeurIPS), 2020
Charles Jin
Martin Rinard
OOD
240
1
0
29 May 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Boosting Few-Shot Learning With Adaptive Margin LossComputer Vision and Pattern Recognition (CVPR), 2020
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
243
217
0
28 May 2020
A Comparison of Few-Shot Learning Methods for Underwater Optical and
  Sonar Image Classification
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Mateusz Ochal
Jose Vazquez
Y. Pétillot
Sen Wang
183
27
0
10 May 2020
Meta-Learning for Few-Shot Land Cover Classification
Meta-Learning for Few-Shot Land Cover Classification
M. Rußwurm
Sherrie Wang
Marco Körner
David B. Lobell
208
97
0
28 Apr 2020
Meta-Meta Classification for One-Shot Learning
Meta-Meta Classification for One-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Arkabandhu Chowdhury
Dipak Chaudhari
Swarat Chaudhuri
C. Jermaine
165
5
0
17 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning
Huimin Peng
VLMOffRL
436
40
0
17 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning
Defining Benchmarks for Continual Few-Shot Learning
Antreas Antoniou
Massimiliano Patacchiola
Mateusz Ochal
Amos Storkey
197
41
0
15 Apr 2020
Regularizing Meta-Learning via Gradient Dropout
Regularizing Meta-Learning via Gradient DropoutAsian Conference on Computer Vision (ACCV), 2020
Hung-Yu Tseng
Yi-Wen Chen
Yi-Hsuan Tsai
Sifei Liu
Yen-Yu Lin
Ming-Hsuan Yang
137
39
0
13 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
735
2,376
0
11 Apr 2020
Tracking by Instance Detection: A Meta-Learning Approach
Tracking by Instance Detection: A Meta-Learning ApproachComputer Vision and Pattern Recognition (CVPR), 2020
Guangting Wang
Chong Luo
Xiaoyan Sun
Zhiwei Xiong
Wenjun Zeng
185
158
0
02 Apr 2020
Scene-Adaptive Video Frame Interpolation via Meta-Learning
Scene-Adaptive Video Frame Interpolation via Meta-LearningComputer Vision and Pattern Recognition (CVPR), 2020
Myungsub Choi
Janghoon Choi
Sungyong Baik
Tae Hyun Kim
Kyoung Mu Lee
212
47
0
02 Apr 2020
Weighted Meta-Learning
Weighted Meta-Learning
Diana Cai
Rishit Sheth
Lester W. Mackey
Nicolò Fusi
190
12
0
20 Mar 2020
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma
Jiajun Bu
Jieyu Yang
Zhen Zhang
Chengwei Yao
Zhi Yu
Sheng Zhou
Xifeng Yan
124
5
0
18 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Chi Zhang
Yujun Cai
Guosheng Lin
Chunhua Shen
VLM
431
154
0
15 Mar 2020
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in
  Cancer Histology Images
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images
Jevgenij Gamper
Brandon Chan
Yee Wah Tsang
David R. J. Snead
Nasir M. Rajpoot
VLMOOD
144
6
0
06 Mar 2020
Is the Meta-Learning Idea Able to Improve the Generalization of Deep
  Neural Networks on the Standard Supervised Learning?
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?International Conference on Pattern Recognition (ICPR), 2020
Xiang Deng
Zhongfei Zhang
AI4CE
114
5
0
27 Feb 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution
Meta-Transfer Learning for Zero-Shot Super-ResolutionComputer Vision and Pattern Recognition (CVPR), 2020
Jae Woong Soh
Sunwoo Cho
N. Cho
SupR
251
304
0
27 Feb 2020
Structured Prediction for Conditional Meta-Learning
Structured Prediction for Conditional Meta-Learning
Ruohan Wang
Y. Demiris
C. Ciliberto
CLL
232
6
0
20 Feb 2020
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