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Classification from Pairwise Similarity and Unlabeled Data

Classification from Pairwise Similarity and Unlabeled Data

12 February 2018
Han Bao
Gang Niu
Masashi Sugiyama
ArXivPDFHTML

Papers citing "Classification from Pairwise Similarity and Unlabeled Data"

16 / 16 papers shown
Title
A Universal Unbiased Method for Classification from Aggregate
  Observations
A Universal Unbiased Method for Classification from Aggregate Observations
Zixi Wei
Lei Feng
Bo Han
Tongliang Liu
Gang Niu
Xiaofeng Zhu
H. Shen
26
2
0
20 Jun 2023
Q&A Label Learning
Q&A Label Learning
Kota Kawamoto
Masato Uchida
16
0
0
08 May 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based
  Cross-Subject Emotion Recognition
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Rushuang Zhou
Weishan Ye
Zhiguo Zhang
Yanyang Luo
Li Zhang
Linling Li
G. Huang
Yining Dong
Yuan Zhang
Zhen Liang
36
9
0
27 Mar 2023
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
21
4
0
18 Apr 2022
Learning with Proper Partial Labels
Learning with Proper Partial Labels
Zheng Wu
Jiaqi Lv
Masashi Sugiyama
24
8
0
23 Dec 2021
On the Surrogate Gap between Contrastive and Supervised Losses
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao
Yoshihiro Nagano
Kento Nozawa
SSL
UQCV
41
19
0
06 Oct 2021
Multi-Class Classification from Single-Class Data with Confidences
Multi-Class Classification from Single-Class Data with Confidences
Yuzhou Cao
Lei Feng
Senlin Shu
Yitian Xu
Bo An
Gang Niu
Masashi Sugiyama
16
3
0
16 Jun 2021
Learning from Similarity-Confidence Data
Learning from Similarity-Confidence Data
Yuzhou Cao
Lei Feng
Yitian Xu
Bo An
Gang Niu
Masashi Sugiyama
24
17
0
13 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
22
43
0
13 Feb 2021
Twin Neural Network Regression
Twin Neural Network Regression
S. J. Wetzel
Kevin Ryczko
R. Melko
Isaac Tamblyn
UQCV
22
11
0
29 Dec 2020
Pointwise Binary Classification with Pairwise Confidence Comparisons
Pointwise Binary Classification with Pairwise Confidence Comparisons
Lei Feng
Senlin Shu
Nan Lu
Bo Han
Miao Xu
Gang Niu
Bo An
Masashi Sugiyama
36
21
0
05 Oct 2020
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
319
498
0
05 Mar 2020
Strength from Weakness: Fast Learning Using Weak Supervision
Strength from Weakness: Fast Learning Using Weak Supervision
Joshua Robinson
Stefanie Jegelka
S. Sra
35
32
0
19 Feb 2020
Learning with Multiple Complementary Labels
Learning with Multiple Complementary Labels
Lei Feng
Takuo Kaneko
Bo Han
Gang Niu
Bo An
Masashi Sugiyama
20
92
0
30 Dec 2019
On the Minimal Supervision for Training Any Binary Classifier from Only
  Unlabeled Data
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
Nan Lu
Gang Niu
A. Menon
Masashi Sugiyama
MQ
30
85
0
31 Aug 2018
Binary Classification from Positive-Confidence Data
Binary Classification from Positive-Confidence Data
Takashi Ishida
Gang Niu
Masashi Sugiyama
38
56
0
19 Oct 2017
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