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2003.00804
Cited By
Task Augmentation by Rotating for Meta-Learning
8 February 2020
Jialin Liu
Jiayi Ji
Chih-Min Lin
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Papers citing
"Task Augmentation by Rotating for Meta-Learning"
20 / 20 papers shown
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection
Signal, Image and Video Processing (SIVP), 2023
Jianjian Qin
Chunzhi Gu
Junzhou Yu
Chao Zhang
221
6
0
30 Nov 2023
Improving Generalization in Meta-Learning via Meta-Gradient Augmentation
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Ren Wang
Haoliang Sun
Qinglai Wei
Xiushan Nie
Yuling Ma
Yilong Yin
267
1
0
14 Jun 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
379
5
0
13 May 2023
Neuralizer: General Neuroimage Analysis without Re-Training
Computer Vision and Pattern Recognition (CVPR), 2023
Steffen Czolbe
H. Dickinson
OOD
397
27
0
04 May 2023
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach
Yassir Bendou
Lucas Drumetz
Vincent Gripon
G. Lioi
Bastien Pasdeloup
262
1
0
16 Jan 2023
A Statistical Model for Predicting Generalization in Few-Shot Classification
European Signal Processing Conference (EUSIPCO), 2022
Yassir Bendou
Vincent Gripon
Bastien Pasdeloup
Lukas Mauch
Stefan Uhlich
Fabien Cardinaux
G. B. Hacene
Javier Alonso García
278
2
0
13 Dec 2022
Learning to generate imaginary tasks for improving generalization in meta-learning
Yichen Wu
Long-Kai Huang
Ying Wei
OOD
174
0
0
09 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
476
651
0
13 May 2022
Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech Recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Yunzheng Zhu
Ruchao Fan
Abeer Alwan
CLL
305
6
0
24 Feb 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach
Chunwei Ma
Ziyun Huang
Mingchen Gao
Jinhui Xu
230
5
0
05 Feb 2022
The Effect of Diversity in Meta-Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Ramnath Kumar
T. Deleu
Yoshua Bengio
340
18
0
27 Jan 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Yassir Bendou
Yuqing Hu
Raphael Lafargue
G. Lioi
Bastien Pasdeloup
S. Pateux
Vincent Gripon
VLM
306
39
0
24 Jan 2022
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy
Junying Huang
Fan Chen
Keze Wang
Liang Lin
Dongyu Zhang
222
8
0
08 Nov 2021
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning
Uche M. Osahor
Nasser M. Nasrabadi
206
14
0
18 Oct 2021
Multimodality in Meta-Learning: A Comprehensive Survey
Yao Ma
Shilin Zhao
Weixiao Wang
Yaoman Li
Irwin King
321
74
0
28 Sep 2021
Semi-Supervised Few-Shot Intent Classification and Slot Filling
S. Basu
Karine lp Kiun Chong
Amr Sharaf
Alex Fischer
Vishal Rohra
Michael Amoake
Hazem El-Hammamy
Ehimwenma Nosakhare
Vijay Ramani
Benjamin Han
VLM
245
7
0
17 Sep 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
Mike Wu
Noah D. Goodman
Chris Piech
Chelsea Finn
324
27
0
23 Jul 2021
Is Support Set Diversity Necessary for Meta-Learning?
Amrith Rajagopal Setlur
Oscar Li
Virginia Smith
304
17
0
28 Nov 2020
Data Augmentation for Meta-Learning
Renkun Ni
Micah Goldblum
Amr Sharaf
Kezhi Kong
Tom Goldstein
343
93
0
14 Oct 2020
Meta-Learning Requires Meta-Augmentation
Neural Information Processing Systems (NeurIPS), 2020
Janarthanan Rajendran
A. Irpan
Eric Jang
394
108
0
10 Jul 2020
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