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InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning

InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning

13 March 2023
Z. Yu
Yin Li
Yong Jae Lee
ArXivPDFHTML

Papers citing "InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning"

11 / 11 papers shown
Title
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
Xinzi Cao
Xiawu Zheng
G. Wang
Weijiang Yu
Yunhang Shen
Ke Li
Yutong Lu
Yonghong Tian
CLL
37
4
0
09 Jan 2025
Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
26
1
0
08 Oct 2024
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
Zerun Wang
Liuyu Xiang
Lang Huang
Jiafeng Mao
Ling Xiao
Toshihiko Yamasaki
27
1
0
26 Sep 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced
  Semi-Supervised Learning
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
Zeju Li
Ying-Qiu Zheng
Chen Chen
Saâd Jbabdi
40
0
0
07 Jul 2024
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with
  Synthetic Data
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data
Zerun Wang
Jiafeng Mao
Liuyu Xiang
Toshihiko Yamasaki
30
0
0
27 May 2024
Unsupervised Domain Adaptation Architecture Search with Self-Training
  for Land Cover Mapping
Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping
Clifford Broni-Bediako
Junshi Xia
Naoto Yokoya
AI4CE
32
2
0
23 Apr 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced
  Semi-Supervised Learning
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
Hyuck Lee
Heeyoung Kim
24
1
0
15 Mar 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Kuo Yang
Duo Li
Menghan Hu
Guangtao Zhai
Xiaokang Yang
Xiao-Ping Zhang
19
0
0
09 Jan 2024
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
218
862
0
15 Oct 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
209
508
0
15 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,134
0
06 Jun 2015
1