دنبال کردن
Masashi Sugiyama
Masashi Sugiyama
Director, RIKEN Center for Advanced Intelligence Project / Professor, The University of Tokyo
ایمیل تأیید شده در k.u-tokyo.ac.jp - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Dataset shift in machine learning‏
J Quiñonero-Candela, M Sugiyama, A Schwaighofer, ND Lawrence‏
Mit Press, 2022‏
26962022
Co-teaching: Robust training of deep neural networks with extremely noisy labels‏
B Han, Q Yao, X Yu, G Niu, M Xu, W Hu, I Tsang, M Sugiyama‏
Advances in neural information processing systems 31, 2018‏
24822018
Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis.‏
M Sugiyama‏
Journal of machine learning research 8 (5), 2007‏
13622007
Covariate shift adaptation by importance weighted cross validation.‏
M Sugiyama, M Krauledat, KR Müller‏
Journal of Machine Learning Research 8 (5), 2007‏
11992007
Direct importance estimation with model selection and its application to covariate shift adaptation‏
M Sugiyama, S Nakajima, H Kashima, P Buenau, M Kawanabe‏
Advances in neural information processing systems 20, 2007‏
11032007
How does disagreement help generalization against label corruption?‏
X Yu, B Han, J Yao, G Niu, I Tsang, M Sugiyama‏
International conference on machine learning, 7164-7173, 2019‏
9062019
Density ratio estimation in machine learning‏
M Sugiyama, T Suzuki, T Kanamori‏
Cambridge University Press, 2012‏
7352012
Change-point detection in time-series data by relative density-ratio estimation‏
S Liu, M Yamada, N Collier, M Sugiyama‏
Neural Networks 43, 72-83, 2013‏
6332013
A least-squares approach to direct importance estimation‏
T Kanamori, S Hido, M Sugiyama‏
The Journal of Machine Learning Research 10, 1391-1445, 2009‏
6322009
Machine learning in non-stationary environments: Introduction to covariate shift adaptation‏
M Sugiyama, M Kawanabe‏
MIT press, 2012‏
5822012
Learning discrete representations via information maximizing self-augmented training‏
W Hu, T Miyato, S Tokui, E Matsumoto, M Sugiyama‏
International conference on machine learning, 1558-1567, 2017‏
5792017
Positive-unlabeled learning with non-negative risk estimator‏
R Kiryo, G Niu, MC Du Plessis, M Sugiyama‏
Advances in neural information processing systems 30, 2017‏
5782017
Direct importance estimation for covariate shift adaptation‏
M Sugiyama, T Suzuki, S Nakajima, H Kashima, P Von Bünau, ...‏
Annals of the Institute of Statistical Mathematics 60, 699-746, 2008‏
5322008
Change-point detection in time-series data by direct density-ratio estimation‏
Y Kawahara, M Sugiyama‏
Proceedings of the 2009 SIAM international conference on data mining, 389-400, 2009‏
5312009
Local fisher discriminant analysis for supervised dimensionality reduction‏
M Sugiyama‏
Proceedings of the 23rd international conference on Machine learning, 905-912, 2006‏
4842006
Attacks which do not kill training make adversarial learning stronger‏
J Zhang, X Xu, B Han, G Niu, L Cui, M Sugiyama, M Kankanhalli‏
International conference on machine learning, 11278-11287, 2020‏
4812020
Analysis of learning from positive and unlabeled data‏
MC Du Plessis, G Niu, M Sugiyama‏
Advances in neural information processing systems 27, 2014‏
4752014
Are anchor points really indispensable in label-noise learning?‏
X Xia, T Liu, N Wang, B Han, C Gong, G Niu, M Sugiyama‏
Advances in neural information processing systems 32, 2019‏
4232019
Active learning in recommender systems‏
N Rubens, M Elahi, M Sugiyama, D Kaplan‏
Recommender systems handbook, 809-846, 2015‏
4152015
High-dimensional feature selection by feature-wise kernelized lasso‏
M Yamada, W Jitkrittum, L Sigal, EP Xing, M Sugiyama‏
Neural computation 26 (1), 185-207, 2014‏
3972014
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20