no code implementations • 4 Jun 2024 • Charlie Tan, Inés García-Redondo, Qiquan Wang, Michael M. Bronstein, Anthea Monod
Bounding and predicting the generalization gap of overparameterized neural networks remains a central open problem in theoretical machine learning.
no code implementations • 24 Aug 2023 • Charlie Tan, Theodore Long, Sarah Zhao, Rudolf Laine
Mode connectivity is a phenomenon where trained models are connected by a path of low loss.
no code implementations • 30 Nov 2021 • Chen Feng, Duolikun Danier, Charlie Tan, Fan Zhang, David Bull
This paper presents a deep learning-based video compression framework (ViSTRA3).