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Positive-Unlabeled Learning with Non-Negative Risk Estimator

Positive-Unlabeled Learning with Non-Negative Risk Estimator

2 March 2017
Ryuichi Kiryo
Gang Niu
M. C. D. Plessis
Masashi Sugiyama
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Papers citing "Positive-Unlabeled Learning with Non-Negative Risk Estimator"

20 / 70 papers shown
Title
Offline Learning from Demonstrations and Unlabeled Experience
Offline Learning from Demonstrations and Unlabeled Experience
Konrad Zolna
Alexander Novikov
Ksenia Konyushkova
Çağlar Gülçehre
Ziyun Wang
Y. Aytar
Misha Denil
Nando de Freitas
Scott E. Reed
SSL
OffRL
32
66
0
27 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and
  Future
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han
Quanming Yao
Tongliang Liu
Gang Niu
Ivor W. Tsang
James T. Kwok
Masashi Sugiyama
NoLa
24
158
0
09 Nov 2020
Binary classification with ambiguous training data
Binary classification with ambiguous training data
Naoya Otani
Yosuke Otsubo
Tetsuya Koike
Masashi Sugiyama
CVBM
6
6
0
05 Nov 2020
Classification with Rejection Based on Cost-sensitive Classification
Classification with Rejection Based on Cost-sensitive Classification
Nontawat Charoenphakdee
Zhenghang Cui
Yivan Zhang
Masashi Sugiyama
68
64
0
22 Oct 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
30
21
0
05 Oct 2020
Kernel Based Progressive Distillation for Adder Neural Networks
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu
Chang Xu
Xinghao Chen
Wei Zhang
Chunjing Xu
Yunhe Wang
33
47
0
28 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative
  Filtering
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding
Yuhan Quan
Quanming Yao
Yong Li
Depeng Jin
11
21
0
07 Sep 2020
Learning from a Complementary-label Source Domain: Theory and Algorithms
Learning from a Complementary-label Source Domain: Theory and Algorithms
Yiyang Zhang
Feng Liu
Zhen Fang
Bo Yuan
Guangquan Zhang
Jie Lu
28
70
0
04 Aug 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
313
498
0
05 Mar 2020
Object Detection as a Positive-Unlabeled Problem
Object Detection as a Positive-Unlabeled Problem
Yuewei Yang
Kevin J Liang
Lawrence Carin
19
37
0
11 Feb 2020
On Positive-Unlabeled Classification in GAN
On Positive-Unlabeled Classification in GAN
Tianyu Guo
Chang Xu
Jiajun Huang
Yunhe Wang
Boxin Shi
Chao Xu
Dacheng Tao
GAN
16
35
0
04 Feb 2020
Learning with Multiple Complementary Labels
Learning with Multiple Complementary Labels
Lei Feng
Takuo Kaneko
Bo Han
Gang Niu
Bo An
Masashi Sugiyama
18
92
0
30 Dec 2019
PUNCH: Positive UNlabelled Classification based information retrieval in
  Hyperspectral images
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images
Anirban Santara
Jayeeta Datta
S. Sarkar
Ankur Garg
K. Padia
Pabitra Mitra
19
1
0
09 Apr 2019
Autoencoding Binary Classifiers for Supervised Anomaly Detection
Autoencoding Binary Classifiers for Supervised Anomaly Detection
Yuki Yamanaka
Tomoharu Iwata
Hiroshi Takahashi
Masanori Yamada
Sekitoshi Kanai
6
38
0
26 Mar 2019
Stochastic Optimization for DC Functions and Non-smooth Non-convex
  Regularizers with Non-asymptotic Convergence
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
Yi Tian Xu
Qi Qi
Qihang Lin
R. L. Jin
Tianbao Yang
35
40
0
28 Nov 2018
Classification from Positive, Unlabeled and Biased Negative Data
Classification from Positive, Unlabeled and Biased Negative Data
Yu-Guan Hsieh
Gang Niu
Masashi Sugiyama
14
79
0
01 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
30
85
0
31 Aug 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely
  Noisy Labels
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han
Quanming Yao
Xingrui Yu
Gang Niu
Miao Xu
Weihua Hu
Ivor Tsang
Masashi Sugiyama
NoLa
35
2,027
0
18 Apr 2018
Positive-unlabeled convolutional neural networks for particle picking in
  cryo-electron micrographs
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs
Tristan Bepler
Andrew Morin
J. Brasch
L. Shapiro
A. Noble
Bonnie Berger
22
752
0
22 Mar 2018
Binary Classification from Positive-Confidence Data
Binary Classification from Positive-Confidence Data
Takashi Ishida
Gang Niu
Masashi Sugiyama
30
56
0
19 Oct 2017
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