Knowledge-Adaptation Priors

von Khan, Mohammad Emtiyaz E
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 24 of 36 (2022)

TRAINING BINARY NEURAL NETWORKS USING THE BAYESIAN LEARNING RULE

von Meng, Xiangming
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 9 of 15 (2021)

SUBSET-OF-DATA VARIATIONAL INFERENCE FOR DEEP GAUSSIAN-PROCESSES REGRESSION

von Jain, Ayush
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 2 of 3 (2022)

VARIATIONAL IMITATION LEARNING WITH DIVERSE-QUALITY DEMONSTRATIONS

von Tangkaratt, Voot
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 13 of 15 (2021)

Dual Parameterization of Sparse Variational Gaussian Processes

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

APPROXIMATE INFERENCE TURNS DEEP NETWORKS INTO GAUSSIAN PROCESSES

von Khan, Mohammad Emtiyaz E.
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 4 of 20 (2020)

Continual Deep Learning by Functional Regularisation of Memorable Past

von Pan, Pingbo
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 6 of 27 (2021)