ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.12303
  4. Cited By
Learning with Proper Partial Labels
v1v2 (latest)

Learning with Proper Partial Labels

23 December 2021
Zheng Wu
Jiaqi Lv
Masashi Sugiyama
ArXiv (abs)PDFHTML

Papers citing "Learning with Proper Partial Labels"

23 / 23 papers shown
Title
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
36
3
0
16 Jun 2021
Leveraged Weighted Loss for Partial Label Learning
Leveraged Weighted Loss for Partial Label Learning
Hongwei Wen
Jingyi Cui
H. Hang
Jiabin Liu
Yisen Wang
Zhouchen Lin
65
101
0
10 Jun 2021
Learning from Similarity-Confidence Data
Learning from Similarity-Confidence Data
Yuzhou Cao
Lei Feng
Yitian Xu
Bo An
Gang Niu
Masashi Sugiyama
44
17
0
13 Feb 2021
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
80
22
0
05 Oct 2020
Provably Consistent Partial-Label Learning
Provably Consistent Partial-Label Learning
Lei Feng
Jiaqi Lv
Bo Han
Miao Xu
Gang Niu
Xin Geng
Bo An
Masashi Sugiyama
64
150
0
17 Jul 2020
Progressive Identification of True Labels for Partial-Label Learning
Progressive Identification of True Labels for Partial-Label Learning
Jiaqi Lv
Miao Xu
Lei Feng
Gang Niu
Xin Geng
Masashi Sugiyama
62
185
0
19 Feb 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible
Confidence Scores Make Instance-dependent Label-noise Learning Possible
Antonin Berthon
Bo Han
Gang Niu
Tongliang Liu
Masashi Sugiyama
NoLa
101
108
0
11 Jan 2020
Learning with Multiple Complementary Labels
Learning with Multiple Complementary Labels
Lei Feng
Takuo Kaneko
Bo Han
Gang Niu
Bo An
Masashi Sugiyama
75
98
0
30 Dec 2019
On Symmetric Losses for Learning from Corrupted Labels
On Symmetric Losses for Learning from Corrupted Labels
Nontawat Charoenphakdee
Jongyeong Lee
Masashi Sugiyama
NoLa
79
105
0
27 Jan 2019
Deep Learning for Classical Japanese Literature
Deep Learning for Classical Japanese Literature
Tarin Clanuwat
Mikel Bober-Irizar
A. Kitamoto
Alex Lamb
Kazuaki Yamamoto
David R Ha
108
710
0
03 Dec 2018
Complementary-Label Learning for Arbitrary Losses and Models
Complementary-Label Learning for Arbitrary Losses and Models
Takashi Ishida
Gang Niu
A. Menon
Masashi Sugiyama
VLM
56
113
0
10 Oct 2018
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
73
87
0
31 Aug 2018
Masking: A New Perspective of Noisy Supervision
Masking: A New Perspective of Noisy Supervision
Bo Han
Jiangchao Yao
Gang Niu
Mingyuan Zhou
Ivor Tsang
Ya Zhang
Masashi Sugiyama
NoLa
73
255
0
21 May 2018
Classification from Pairwise Similarity and Unlabeled Data
Classification from Pairwise Similarity and Unlabeled Data
Han Bao
Gang Niu
Masashi Sugiyama
220
88
0
12 Feb 2018
Size-Independent Sample Complexity of Neural Networks
Size-Independent Sample Complexity of Neural Networks
Noah Golowich
Alexander Rakhlin
Ohad Shamir
154
548
0
18 Dec 2017
Learning with Biased Complementary Labels
Learning with Biased Complementary Labels
Xiyu Yu
Tongliang Liu
Biwei Huang
Dacheng Tao
59
198
0
27 Nov 2017
Binary Classification from Positive-Confidence Data
Binary Classification from Positive-Confidence Data
Takashi Ishida
Gang Niu
Masashi Sugiyama
57
57
0
19 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,904
0
25 Aug 2017
Learning from Complementary Labels
Learning from Complementary Labels
Takashi Ishida
Gang Niu
Weihua Hu
Masashi Sugiyama
53
168
0
22 May 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
775
36,861
0
25 Aug 2016
A vector-contraction inequality for Rademacher complexities
A vector-contraction inequality for Rademacher complexities
Andreas Maurer
77
260
0
01 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
1