NADS: NEURAL ARCHITECTURE DISTRIBUTION SEARCH FOR UNCERTAINTY AWARENESS

von Ardywibowo, Randy
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 1 of 15 (2021)

BAYREL: BAYESIAN RELATIONAL LEARNING FOR MULTI-OMICS DATA INTEGRATION

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

Efficient Active Learning for Gaussian Process Classification by Error Reduction

von Zhao, Guang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 12 of 36 (2022)

PAIRWISE SUPERVISED HASHING WITH BERNOULLI VARIATIONAL AUTO-ENCODER AND SELF-CONTROL GRADIENT ESTIMATOR

von DADANEH, SIAMAK ZAMANI
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 2 of 3 (2021)

VARIATIONAL GRAPH RECURRENT NEURAL NETWORKS

von Hajiramezanali, Ehsan
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)

SEMI-IMPLICIT GRAPH VARIATIONAL AUTO-ENCODERS

von Hasanzadeh, Arman
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)

BAYESIAN GRAPH NEURAL NETWORKS WITH ADAPTIVE CONNECTION SAMPLING

von Hasanzadeh, Arman
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)