Learning from Aggregate Observations

14 April 2020

Yivan Zhang

Nontawat Charoenphakdee

Zheng Wu

Masashi Sugiyama

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Papers citing "Learning from Aggregate Observations"

20 / 20 papers shown

Title
Learning from Indirect Observations Yivan Zhang Nontawat Charoenphakdee Masashi Sugiyama 22 4 0 10 Oct 2019
Classification from Triplet Comparison Data Zhenghang Cui Nontawat Charoenphakdee Issei Sato Masashi Sugiyama 32 23 0 24 Jul 2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs Yusuke Tanaka Toshiyuki Tanaka Tomoharu Iwata Takeshi Kurashima Maya Okawa Yasunori Akagi Hiroyuki Toda 27 27 0 19 Jul 2019
Uncoupled Regression from Pairwise Comparison Data Liyuan Xu Junya Honda Gang Niu Masashi Sugiyama 34 13 0 31 May 2019
Multi-class Classification without Multi-class Labels Yen-Chang Hsu Zhaoyang Lv Joel Schlosser Phillip Odom Z. Kira 47 164 0 02 Jan 2019
Deep Learning for Classical Japanese Literature Tarin Clanuwat Mikel Bober-Irizar A. Kitamoto Alex Lamb Kazuaki Yamamoto David R Ha 73 705 0 03 Dec 2018
Boosting for Comparison-Based Learning Michaël Perrot U. V. Luxburg 15 6 0 31 Oct 2018
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities Yusuke Tanaka Tomoharu Iwata Toshiyuki Tanaka Takeshi Kurashima Maya Okawa Hiroyuki Toda 36 14 0 21 Sep 2018
Comparison-Based Random Forests Siavash Haghiri Damien Garreau U. V. Luxburg 93 25 0 18 Jun 2018
Variational Learning on Aggregate Outputs with Gaussian Processes H. Law Dino Sejdinovic E. Cameron T. Lucas Seth Flaxman K. Battle Kenji Fukumizu 39 38 0 22 May 2018
Classification from Pairwise Similarity and Unlabeled Data Han Bao Gang Niu Masashi Sugiyama 188 88 0 12 Feb 2018
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 54 197 0 27 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 182 8,807 0 25 Aug 2017
Multiple Instance Learning: A Survey of Problem Characteristics and Applications M. Carbonneau Veronika Cheplygina Eric Granger G. Gagnon 48 622 0 11 Dec 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 83 1,447 0 13 Sep 2016
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 287 13,079 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 979 149,474 0 22 Dec 2014
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 107 1,310 0 29 Jul 2014
Learning about individuals from group statistics H. Kück Nando de Freitas 41 116 0 04 Jul 2012
Spectral Methods for Learning Multivariate Latent Tree Structure Omer Tamuz Ce Liu Daniel J. Hsu Ohad Shamir Serge J. Belongie Tong Zhang 78 250 0 07 Jul 2011