Annual invitation to join our research group on Machine Learning
Nhóm nghiên cứu về Machine Learning (ML) tại DSLab được dẫn dắt bởi thầy Khoát và một số thầy cô có nhiều kinh nghiệm. Nếu […]
Articles by Khoat Than
A paper at IEEE Big Data 2019 by Van-Son Nguyen et al.
Van-Son Nguyen, Duc-Tung Nguyen, Linh Ngo Van, Khoat Than, “Infinite Dropout for training Bayesian models from data streams”, In Proceedings of IEEE International Conference on Big […]
2 new projects funded by VINIF
See at http://ds.soict.hust.edu.vn/?page_id=18
A paper at IJA (SCI journal) by Cuong Ha-Nhat et al
Cuong Ha-Nhat, Dang Tran, Linh Ngo Van, Khoat Than, “Eliminating overfitting of probabilistic topic models on short and noisy text: The role of Dropout”, International Journal […]
Seminar by Nguyen Vu Linh on 24/10/2018: Epistemic and Aleatoric Uncertainties in Active Learning and Classification.
Time: 15:00 on 24/10/2018 Place: room 1002, building B1 (HUST) Presenter: Nguyen Vu Linh, UMR CNRS 7253 Heudiasyc, Sorbonne universités, Université de technologie de Compiègne, Compiègne, […]
Seminar by Nguyen Huu Thien on 13/8/2018: Information Extraction in the Era of Deep Learning
Time: 14:00 on 13/8/2018 Place: room B4-705, VIASM (Ta Quang Buu Library, HUST) Presenter: Thien Huu Nguyen, Department of Computer and Information Science, University of […]
AOARD/AFOSR will visit us on April 13.
Prof Hiroshi Motoda from AOARD/AFOSR will visit us on April 13, 2018 to discuss the current project on Representation Learning.