AN INFORMATION-GEOMETRIC DISTANCE ON THE SPACE OF TASKS

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

A FREE-ENERGY PRINCIPLE FOR REPRESENTATION LEARNING

von Gao, Yansong
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 5 of 15 (2021)

Deep Reference Priors: What is the Best Way to Pretrain a Model?

von Gao, Yansong
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 9 of 33 (2023)

Does the Data Induce Capacity Control in Deep Learning?

von Yang, Rubing
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 30 of 33 (2023)

Harmonization with Flow-Based Causal Inference

von Wang, Rongguang
Veröffentlicht in MICCAI (24. : 2021 : Online) Medical image computing and computer assisted intervention - MICCAI 2021 ; Part 3 (2021)

Continuous Doubly Constrained Batch Reinforcement Learning

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

Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation

von Fakoor, Rasool
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 11 of 27 (2021)