TRAINABILITY GENERALIZATION ICML2020 (6)

von Xiao, Lechao
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

Synergy and Symmetry in Deep Learning: Interactions Between the Data, Model, and Inference Algorithm

von Xiao, Lechao
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 29 of 33 (2023)

Dataset Distillation with Infinitely Wide Convolutional Networks

von Nguyen, Timothy
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

THE SURPRISING SIMPLICITY OF THE EARLY-TIME LEARNING DYNAMICS OF NEURAL NETWORKS

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

Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression

von Xiao, Lechao
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 7 of 50 (2023)

Fast Neural Kernel Embeddings for General Activations

von Han, Insu
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 46 of 50 (2023)

FINITE VERSUS INFINITE NEURAL NETWORKS: AN EMPIRICAL STUDY

von Lee, Jaehoon
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 19 of 27 (2021)

WIDE NEURAL NETWORKS OF ANY DEPTH EVOLVE AS LINEAR MODELS UNDER GRADIENT DESCENT

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