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1906.00562
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Learning to Self-Train for Semi-Supervised Few-Shot Classification
3 June 2019
Xinzhe Li
Qianru Sun
Yaoyao Liu
Shibao Zheng
Qin Zhou
Tat-Seng Chua
Bernt Schiele
SSL
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Papers citing
"Learning to Self-Train for Semi-Supervised Few-Shot Classification"
27 / 127 papers shown
Title
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
Part-aware Prototype Network for Few-shot Semantic Segmentation
Yongfei Liu
Xiangyi Zhang
Songyang Zhang
Xuming He
49
323
0
13 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding
Jinhai Yang
Han Yang
Lin Chen
58
20
0
11 Jul 2020
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation
Yongqin Xian
Bruno Korbar
Matthijs Douze
Lorenzo Torresani
Bernt Schiele
Zeynep Akata
VGen
70
18
0
09 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang
Henrik Marklund
Nikita Dhawan
Abhishek Gupta
Sergey Levine
Chelsea Finn
OOD
85
208
0
06 Jul 2020
Uncertainty-aware Self-training for Text Classification with Few Labels
Subhabrata Mukherjee
Ahmed Hassan Awadallah
UQLM
76
43
0
27 Jun 2020
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance
L. Smith
A. Conovaloff
SSL
82
8
0
16 Jun 2020
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
134
303
0
09 Jun 2020
Looking back to lower-level information in few-shot learning
Zhongjie Yu
S. Raschka
48
5
0
27 May 2020
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
420
2,005
0
11 Apr 2020
Instance Credibility Inference for Few-Shot Learning
Yikai Wang
C. Xu
Chen Liu
Li Zhang
Yanwei Fu
80
164
0
26 Mar 2020
Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification
Jun Seo
Sung Whan Yoon
Jaekyun Moon
VLM
26
1
0
18 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
Chi Zhang
Yujun Cai
Guosheng Lin
Chunhua Shen
VLM
99
119
0
15 Mar 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
M. Lichtenstein
P. Sattigeri
Rogerio Feris
Raja Giryes
Leonid Karlinsky
107
77
0
14 Mar 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Hanchao Yu
Shanhui Sun
Haichao Yu
Xiao Chen
Humphrey Shi
Thomas Huang
Terrence Chen
116
45
0
10 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
75
196
0
09 Mar 2020
Meta-Learned Confidence for Few-shot Learning
Seong Min Kye
Haebeom Lee
Hoirin Kim
Sung Ju Hwang
61
23
0
27 Feb 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Yaoyao Liu
Yuting Su
Anan Liu
Bernt Schiele
Qianru Sun
CLL
98
347
0
24 Feb 2020
Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks
Athanasios Davvetas
I. Klampanos
30
0
0
22 Dec 2019
Learning to Impute: A General Framework for Semi-supervised Learning
Wei-Hong Li
Chuan-Sheng Foo
Hakan Bilen
SSL
88
10
0
22 Dec 2019
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
Zhongjie Yu
Lin Chen
Zhongwei Cheng
Jiebo Luo
85
110
0
19 Dec 2019
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
75
151
0
11 Dec 2019
Prototype Rectification for Few-Shot Learning
Jinlu Liu
Liang Song
Yongqiang Qin
114
250
0
25 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
415
2,397
0
11 Nov 2019
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
113
104
0
07 Oct 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
120
59
0
07 Jun 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
170
128
0
17 Apr 2019
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