TIME-SERIES GENERATIVE ADVERSARIAL NETWORKS

von Yoon, Jinsung
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 7 of 20 (2020)

DIFFERENTIALLY PRIVATE BAGGING: IMPROVED UTILITY AND CHEAPER PRIVACY THAN SUBSAMPLE-AND-AGGREGATE

von Jordon, James
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 6 of 20 (2020)

DATA VALUATION USING REINFORCEMENT LEARNING

von Yoon, Jinsung
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

VIME: EXTENDING THE SUCCESS OF SELF- AND SEMI-SUPERVISED LEARNING TO TABULAR DOMAIN

von Yoon, Jinsung
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 14 of 27 (2021)

Controlling Neural Networks with Rule Representations

von Seo, Sungyong
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 14 of 36 (2022)

6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network

von Kim, Hyunsung
Veröffentlicht in MLSA (8. : 2021 : Online) Machine learning and data mining for sports analytics (2022)

Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video

von Kim, Hyunsung
Veröffentlicht in International Workshop on Machine Learning and Data Mining for Sports Analytics (9. : 2022 : Grenoble) Machine learning and data mining for sports analytics (2023)

INTERPRETABLE SEQUENCE LEARNING FOR COVID-19 FORECASTING

von Arik, Sercan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 23 of 27 (2021)