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2102.09559
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CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
18 February 2021
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
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Papers citing
"CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning"
50 / 143 papers shown
Title
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Meta Co-Training: Two Views are Better than One
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29
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0
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SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
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Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
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Xiaomeng Li
33
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0
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Carl R. Donovan
24
8
0
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Jianhong Bai
Zuo-Qiang Liu
Hualiang Wang
Ruizhe Chen
Lianrui Mu
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Jian Wu
Haoji Hu
40
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H. V. Hoof
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0
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Min-Hung Chen
Y. Wang
18
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0
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Zhen Zhao
Lei Qi
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24
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Boosting Semi-Supervised Learning by bridging high and low-confidence predictions
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22
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Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
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Tao Wang
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0
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Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment
Tao Wang
Zhongzheng Huang
Jiawei Wu
Yuanzheng Cai
Zuoyong Li
OOD
17
0
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DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
Hong Wang
X. Li
17
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Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation
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Haoyu Xie
Yuhui Yuan
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22
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0
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17
1
0
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Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
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Lu Xu
Lidong Bing
Hwee Tou Ng
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Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
Emanuel Sanchez Aimar
Hannah Helgesen
Yonghao Xu
Marco Kuhlmann
M. Felsberg
26
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0
07 Jun 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
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Yuanmao Luo
Tianshui Chen
Keke Xu
Shuangping Huang
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Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
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Kaiyang Zhou
Chen Huang
Chen Change Loy
21
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BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
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Zejia Weng
Hengduo Li
Zuxuan Wu
22
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22 May 2023
Semi-Supervised Graph Imbalanced Regression
Gang Liu
Tong Zhao
Eric Inae
Te Luo
Meng-Long Jiang
24
19
0
20 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
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32
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0
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Shrinivas Ramasubramanian
S. Takemori
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Venkatesh Babu Radhakrishnan
22
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0
28 Apr 2023
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Huanhuan Gao
Beiwen Tian
Pengfei Li
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Guyue Zhou
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26
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0
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CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
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Kai Han
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34
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InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
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11
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Self-NeRF: A Self-Training Pipeline for Few-Shot Neural Radiance Fields
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Pseudo Labels Regularization for Imbalanced Partial-Label Learning
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RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
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0
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0
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0
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NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
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SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
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Yue Fan
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Marios Savvides
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Yuankai Qi
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Laiyun Qing
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R. Liu
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