A Central Limit Theorem for Differentially Private Query Answering

von Dong, Jinshuo
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)

INTERPRETING ROBUST OPTIMIZATION VIA ADVERSARIAL INFLUENCE FUNCTIONS

von Deng, Zhun
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 4 of 15 (2021)

When and How Mixup Improves Calibration

von Zhang, Linjun
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 32 of 33 (2023)

Adversarial Training Helps Transfer Learning via Better Representations

von Deng, Zhun
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 30 of 36 (2022)

C-Mixup: Improving Generalization in Regression

von Yao, Huaxiu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 5 of 50 (2023)

DSCC2020-3335 Safe Decision and Control of Connected Automated Vehicles for an Unprotected Left Turn

von Oh, Sanghoon
Veröffentlicht in ASME Dynamic Systems and Control Conference (2020 : Online) Proceedings of the ASME Dynamic Systems and Control Conference - 2020 ; Volume 1: Adaptive/intelligent sys. control - driver assistance/autonomous tech. - control design methods - nonlinear control - robotics - assistive/rehabilitation devices - biomedical/neural systems - building energy systems - connected vehicle systems - control apps. - smart buildings/microgrids - education - human-robot systems - soft mechatronics/robotic components/systems - energy storage - estimation/identification - vehicle efficiency/emissions (2020)

Improving Out-Of-Distribution Robustness Via Selective Augmentation

von Yao, Huaxiu
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 31 of 33 (2023)

IMPROVING GENERALIZATION IN META-LEARNING VIA TASK AUGMENTATION

von YAO, HUAXIU
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 15 of 16 (2022)