GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy

von Yu, Yemin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 14 of 50 (2023)

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)

Online Structured Meta-learning

von Yao, Huaxiu
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

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)

Meta-learning with an Adaptive Task Scheduler

von Yao, Huaxiu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery

von Yao, Huaxiu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 10 of 36 (2022)

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

von Yao, Huaxiu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 14 of 50 (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)