AMORTIZED BAYESIAN OPTIMIZATION OVER DISCRETE SPACES

von SWERSKY, KEVIN
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)

NEURAL EXECUTION ENGINES: LEARNING TO EXECUTE SUBROUTINES

von Yan, Yujun
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 21 of 27 (2021)

GRAPH NORMALIZING FLOWS

von Liu, Jenny
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 18 of 20 (2020)

BIG SELF-SUPERVISED MODELS ARE STRONG SEMI-SUPERVISED LEARNERS

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

OOPS I TOOK A GRADIENT: SCALABLE SAMPLING FOR DISCRETE DISTRIBUTIONS

von GRATHWOHL, WILL
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 5 of 16 (2022)