Complementary-Label Learning for Arbitrary Losses and Models

10 October 2018

Papers citing "Complementary-Label Learning for Arbitrary Losses and Models"

21 / 21 papers shown

Title
Generative-Discriminative Complementary Learning Yanwu Xu Biwei Huang Junxiang Chen Tongliang Liu Kun Zhang Kayhan Batmanghelich GAN 38 38 0 02 Apr 2019
Online Multiclass Classification Based on Prediction Margin for Partial Feedback Takuo Kaneko Issei Sato Masashi Sugiyama 25 12 0 04 Feb 2019
On Symmetric Losses for Learning from Corrupted Labels Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama NoLa 56 105 0 27 Jan 2019
Deep Learning for Classical Japanese Literature Tarin Clanuwat Mikel Bober-Irizar A. Kitamoto Alex Lamb Kazuaki Yamamoto David R Ha 95 709 0 03 Dec 2018
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 67 87 0 31 Aug 2018
Dimensionality-Driven Learning with Noisy Labels Xingjun Ma Yisen Wang Michael E. Houle Shuo Zhou S. Erfani Shutao Xia S. Wijewickrema James Bailey NoLa 73 433 0 07 Jun 2018
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 110 2,066 0 18 Apr 2018
Classification from Pairwise Similarity and Unlabeled Data Han Bao Gang Niu Masashi Sugiyama 202 88 0 12 Feb 2018
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 54 198 0 27 Nov 2017
Binary Classification from Positive-Confidence Data Takashi Ishida Gang Niu Masashi Sugiyama 55 57 0 19 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 278 8,878 0 25 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 294 5,825 0 14 Jun 2017
Learning from Complementary Labels Takashi Ishida Gang Niu Weihua Hu Masashi Sugiyama 53 167 0 22 May 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator Ryuichi Kiryo Gang Niu M. C. D. Plessis Masashi Sugiyama 69 476 0 02 Mar 2017
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 90 1,452 0 13 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 612 29,032 0 09 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 764 36,781 0 25 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 89 458 0 02 Jul 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances M. C. D. Plessis Masashi Sugiyama SSL 68 21 0 01 May 2013