DATA-DEPENDENT SAMPLE COMPLEXITY OF DEEP NEURAL NETWORKS VIA LIPSCHITZ AUGMENTATION

von Wei, Colin
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 13 of 20 (2020)

Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers

von Wei, Colin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 16 of 50 (2023)

TOWARDS EXPLAINING THE REGULARIZATION EFFECT OF INITIAL LARGE LEARNING RATE IN TRAINING NEURAL NETWORKS

von Li, Yuanchi
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning

von Wei, Colin
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 20 of 36 (2022)

SELF-TRAINING AVOIDS USING SPURIOUS FEATURES UNDER DOMAIN SHIFT

von Chen, Yining
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 26 of 27 (2021)

Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss

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

Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations

von HaoChen, Jeff Z.
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 35 of 50 (2023)

REGULARIZATION MATTERS: GENERALIZATION AND OPTIMIZATION OF NEURAL NETS V.S. THEIR INDUCED KERNEL

von Wei, Colin
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 13 of 20 (2020)

LEARNING IMBALANCED DATASETS WITH LABEL-DISTRIBUTION-AWARE MARGIN LOSS

von Cao, Kaidi
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 2 of 20 (2020)