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Towards Semi-supervised Learning with Non-random Missing Labels

Towards Semi-supervised Learning with Non-random Missing Labels

17 August 2023
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
ArXivPDFHTML

Papers citing "Towards Semi-supervised Learning with Non-random Missing Labels"

11 / 11 papers shown
Title
Source-Free Test-Time Adaptation For Online Surface-Defect Detection
Source-Free Test-Time Adaptation For Online Surface-Defect Detection
Yiran Song
Qianyu Zhou
Lizhuang Ma
TTA
40
1
0
18 Aug 2024
PC$^2$: Pseudo-Classification Based Pseudo-Captioning for Noisy
  Correspondence Learning in Cross-Modal Retrieval
PC2^22: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval
Yue Duan
Zhangxuan Gu
ZhenZhe Ying
Wei Li
Yu Zhang
Zibin Zheng
21
2
0
02 Aug 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch
  and Inductive Inference
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
S. Park
Hyuk Kwon
Kwanghoon Sohn
Kibok Lee
OffRL
24
0
0
31 May 2024
Constructing and Exploring Intermediate Domains in Mixed Domain
  Semi-supervised Medical Image Segmentation
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
Qinghe Ma
Jian Zhang
Lei Qi
Qian Yu
Yinghuan Shi
Yang Gao
41
7
0
13 Apr 2024
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level
  Recognition
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
Lianghui Zhu
Junwei Zhou
Yan Liu
Xin Hao
Wenyu Liu
Xinggang Wang
VLM
31
5
0
22 Feb 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with
  Pseudo-Label and Gaussian Process Guidance
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
Taicai Chen
Yue Duan
Dong Li
Lei Qi
Yinghuan Shi
Yang Gao
BDL
DRL
17
5
0
28 Dec 2023
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection
  for Semi-supervised Fine-Grained Learning
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
21
4
0
19 Dec 2023
On Non-Random Missing Labels in Semi-Supervised Learning
On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu
Yulei Niu
C. Miao
Xiansheng Hua
Hanwang Zhang
22
17
0
29 Jun 2022
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
861
0
15 Oct 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed
  Self-Training
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Kai Sheng Tai
Peter Bailis
Gregory Valiant
OT
38
43
0
17 Feb 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
206
506
0
15 Jan 2021
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