FUNCTIONAL REGULARIZATION FOR REPRESENTATION LEARNING: A UNIFIED THEORETICAL PERSPECTIVE

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

N-GRAM GRAPH: SIMPLE UNSUPERVISED REPRESENTATION FOR GRAPHS, WITH APPLICATIONS TO MOLECULES

von Liu, Shengchao
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

LEARNING AND GENERALIZATION IN OVERPARAMETERIZED NEURAL NETWORKS, GOING BEYOND TWO LAYERS

von Allen-Zhu, Zeyuan
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 8 of 20 (2020)

ROBUST ATTRIBUTION REGULARIZATION

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

ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining

von Chen, Jiefeng
Veröffentlicht in ECML PKDD (2021 : Online) Machine Learning and Knowledge Discovery in Databases ; Part 3: Research Track (2021)

Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles

von Chen, Jiefeng
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)