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Making Binary Classification from Multiple Unlabeled Datasets Almost
  Free of Supervision

Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision

12 June 2023
Yuhao Wu
Xiaobo Xia
Jun Yu
Bo Han
Gang Niu
Masashi Sugiyama
Tongliang Liu
ArXivPDFHTML

Papers citing "Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision"

6 / 6 papers shown
Title
Unraveling the Impact of Heterophilic Structures on Graph
  Positive-Unlabeled Learning
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
Yuhao Wu
Jiangchao Yao
Bo Han
Lina Yao
Tongliang Liu
26
2
0
30 May 2024
Mitigating Label Noise on Graph via Topological Sample Selection
Mitigating Label Noise on Graph via Topological Sample Selection
Yuhao Wu
Jiangchao Yao
Xiaobo Xia
Jun-chen Yu
Ruxing Wang
Bo Han
Tongliang Liu
NoLa
47
2
0
04 Mar 2024
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness
  for Semi-Supervised Learning
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
Zhuo Huang
Li Shen
Jun-chen Yu
Bo Han
Tongliang Liu
FedML
21
20
0
25 Oct 2023
Objects in Semantic Topology
Objects in Semantic Topology
Shuo Yang
Pei Sun
Yi-Xin Jiang
Xiaobo Xia
Ruiheng Zhang
Zehuan Yuan
Changhu Wang
Ping Luo
Min Xu
ObjD
83
29
0
06 Oct 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence
  Calibration
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Xiao Wang
Hongrui Liu
Chuan Shi
Cheng Yang
UQCV
95
113
0
29 Sep 2021
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
497
0
05 Mar 2020
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