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1810.09502
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How to train your MAML
22 October 2018
Antreas Antoniou
Harrison Edwards
Amos Storkey
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Papers citing
"How to train your MAML"
50 / 398 papers shown
MAC: A Meta-Learning Approach for Feature Learning and Recombination
Pattern Analysis and Applications (PAA), 2022
S. Tiwari
M. Gogoi
S. Verma
K. P. Singh
CLL
204
2
0
20 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yuqing Hu
S. Pateux
Vincent Gripon
216
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0
18 Sep 2022
MetaDIP: Accelerating Deep Image Prior with Meta Learning
Kevin Zhang
Mingyang Xie
Maharshi Gor
Yi-Ting Chen
Yvonne Zhou
Christopher A. Metzler
AI4CE
205
6
0
18 Sep 2022
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models
Jared Lichtarge
Chris Alberti
Shankar Kumar
226
5
0
10 Sep 2022
Multitask Learning via Shared Features: Algorithms and Hardness
Annual Conference Computational Learning Theory (COLT), 2022
Konstantina Bairaktari
Guy Blanc
Li-Yang Tan
Jonathan R. Ullman
Lydia Zakynthinou
132
5
0
07 Sep 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions
European Conference on Computer Vision (ECCV), 2022
Zhenyi Wang
Li Shen
Le Fang
Qiuling Suo
Dongling Zhan
Tiehang Duan
Mingchen Gao
OOD
CLL
161
20
0
03 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
Weitong Chen
BDL
463
27
0
01 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Xixi Wang
Tianlin Li
Bo Jiang
Bin Luo
294
57
0
26 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDL
VLM
284
18
0
22 Aug 2022
Learning Primitive-aware Discriminative Representations for Few-shot Learning
International Conference on Neural Information Processing (ICONIP), 2022
Jianpeng Yang
Yuhang Niu
Xuemei Xie
G. Shi
198
1
0
20 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations
European Conference on Computer Vision (ECCV), 2022
Yinbo Chen
Xiaolong Wang
AI4CE
295
85
0
04 Aug 2022
Meta-Learning based Degradation Representation for Blind Super-Resolution
IEEE Transactions on Image Processing (IEEE TIP), 2022
Bin Xia
Yapeng Tian
Yulun Zhang
Yucheng Hang
Wenming Yang
Q. Liao
SupR
173
29
0
28 Jul 2022
Self-Support Few-Shot Semantic Segmentation
European Conference on Computer Vision (ECCV), 2022
Qi Fan
Wenjie Pei
Yu-Wing Tai
Chi-Keung Tang
243
190
0
23 Jul 2022
Feed-Forward Latent Domain Adaptation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ondrej Bohdal
Da Li
S. Hu
Timothy M. Hospedales
OOD
182
1
0
15 Jul 2022
Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Yu Wang
Guan Gui
Yun Lin
Hsiao-Chun Wu
Chau Yuen
F. Adachi
199
115
0
14 Jul 2022
Learning Deep Time-index Models for Time Series Forecasting
International Conference on Machine Learning (ICML), 2022
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Guosheng Lin
AI4TS
AI4CE
429
34
0
13 Jul 2022
Compound Prototype Matching for Few-shot Action Recognition
European Conference on Computer Vision (ECCV), 2022
Yifei Huang
Lijin Yang
Yoichi Sato
360
59
0
12 Jul 2022
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning
British Machine Vision Conference (BMVC), 2022
Guodong Liu
Tongling Wang
Shuoxi Zhang
Kun He
256
1
0
09 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval
European Conference on Computer Vision (ECCV), 2022
A. Bhunia
Aneeshan Sain
Parth Shah
Animesh Gupta
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
432
24
0
04 Jul 2022
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries
Meghna Gummadi
Cassandra Kent
Jorge Armando Mendez Mendez
Eric Eaton
CLL
202
14
0
28 Jun 2022
p-Meta: Towards On-device Deep Model Adaptation
Knowledge Discovery and Data Mining (KDD), 2022
Zhongnan Qu
Zimu Zhou
Yongxin Tong
Lothar Thiele
124
14
0
25 Jun 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
Neural Information Processing Systems (NeurIPS), 2022
Massimiliano Patacchiola
J. Bronskill
Aliaksandra Shysheya
Katja Hofmann
Sebastian Nowozin
Richard Turner
VLM
345
12
0
20 Jun 2022
Model-Agnostic Few-Shot Open-Set Recognition
Malik Boudiaf
Etienne Bennequin
Myriam Tami
C´eline Hudelot
Antoine Toubhans
Pablo Piantanida
Ismail Ben Ayed
BDL
220
1
0
18 Jun 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD
Neural Information Processing Systems (NeurIPS), 2022
Yu Huang
Yingbin Liang
Longbo Huang
MLT
289
13
0
18 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
Neural Information Processing Systems (NeurIPS), 2022
Markus Hiller
Mehrtash Harandi
Tom Drummond
AI4CE
144
9
0
15 Jun 2022
Faster Optimization-Based Meta-Learning Adaptation Phase
Radio Electronics, Computer Science, Control (RECSC), 2022
K. Khabarlak
124
2
0
13 Jun 2022
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
International Conference on Machine Learning (ICML), 2022
Momin Abbas
Quan-Wu Xiao
Lisha Chen
Pin-Yu Chen
Tianyi Chen
474
98
0
08 Jun 2022
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
Neurocomputing (Neurocomputing), 2022
Marcin Przewiȩźlikowski
P. Przybysz
Jacek Tabor
Maciej Ziȩba
Przemysław Spurek
378
26
0
31 May 2022
Improved Meta Learning for Low Resource Speech Recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Satwinder Singh
Ruili Wang
Feng Hou
198
26
0
11 May 2022
Meta Learning for Natural Language Processing: A Survey
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Hung-yi Lee
Shang-Wen Li
Ngoc Thang Vu
332
51
0
03 May 2022
Meta-free few-shot learning via representation learning with weight averaging
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Kuilin Chen
Chi-Guhn Lee
192
6
0
26 Apr 2022
Metappearance: Meta-Learning for Visual Appearance Reproduction
ACM Transactions on Graphics (TOG), 2022
Michael Fischer
Tobias Ritschel
3DH
226
14
0
19 Apr 2022
Few-shot Learning with Noisy Labels
Computer Vision and Pattern Recognition (CVPR), 2022
Kevin J. Liang
Samrudhdhi B. Rangrej
Vladan Petrovic
Tal Hassner
NoLa
267
55
0
12 Apr 2022
Context-aware Visual Tracking with Joint Meta-updating
Qiuhong Shen
Xin Li
Fanyang Meng
Yongsheng Liang
162
3
0
04 Apr 2022
Matching Feature Sets for Few-Shot Image Classification
Computer Vision and Pattern Recognition (CVPR), 2022
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
VLM
268
91
0
02 Apr 2022
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Da-Wei Zhou
Han-Jia Ye
Liang Ma
Di Xie
Shiliang Pu
De-Chuan Zhan
CLL
258
173
0
31 Mar 2022
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds
European Conference on Computer Vision (ECCV), 2022
Ta-Ying Cheng
Qingyong Hu
Qian Xie
Niki Trigoni
Andrew Markham
3DPC
193
20
0
30 Mar 2022
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division
IEEE International Conference on Robotics and Automation (ICRA), 2022
Dafni Antotsiou
C. Ciliberto
Tae-Kyun Kim
225
4
0
28 Mar 2022
Sketch3T: Test-Time Training for Zero-Shot SBIR
Computer Vision and Pattern Recognition (CVPR), 2022
Aneeshan Sain
A. Bhunia
Vaishnav Potlapalli
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
VLM
267
64
0
28 Mar 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
Asian Conference on Computer Vision (ACCV), 2022
Jaeyoo Park
Junha Kim
Bohyung Han
OffRL
202
7
0
25 Mar 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Deepshikha Pandey
Qi Yu
UQCV
154
15
0
23 Mar 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Marcin Sendera
Marcin Przewiȩźlikowski
Konrad Karanowski
Maciej Ziȩba
Jacek Tabor
Przemysław Spurek
VLM
218
36
0
21 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Haoxiang Wang
Yite Wang
Tian Ding
Yue Liu
213
38
0
17 Mar 2022
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications
Viet-Khoa Vo-Ho
Kashu Yamazaki
Hieu T. Hoang
Minh-Triet Tran
Ngan Le
174
5
0
16 Mar 2022
Forward Compatible Few-Shot Class-Incremental Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Da-Wei Zhou
Fu Lee Wang
Han-Jia Ye
Liang Ma
Shiliang Pu
De-Chuan Zhan
CLL
241
243
0
14 Mar 2022
What Matters For Meta-Learning Vision Regression Tasks?
Computer Vision and Pattern Recognition (CVPR), 2022
Ni Gao
Hanna Ziesche
Ngo Anh Vien
Michael Volpp
Gerhard Neumann
VLM
156
29
0
09 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
336
248
0
07 Mar 2022
Automated Few-Shot Time Series Forecasting based on Bi-level Programming
Jiangjiao Xu
Ke Li
AI4TS
195
2
0
07 Mar 2022
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Florian Lux
Ngoc Thang Vu
231
33
0
07 Mar 2022
Meta Mirror Descent: Optimiser Learning for Fast Convergence
Boyan Gao
Henry Gouk
Haebeom Lee
Timothy M. Hospedales
201
8
0
05 Mar 2022
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