On the Implicit Bias Towards Minimal Depth of Deep Neural Networks

18 February 2022

Papers citing "On the Implicit Bias Towards Minimal Depth of Deep Neural Networks"

8 / 8 papers shown

Title
Linguistic Collapse: Neural Collapse in (Large) Language Models Robert Wu V. Papyan 48 12 0 28 May 2024
Reverse Engineering Self-Supervised Learning Ido Ben-Shaul Ravid Shwartz-Ziv Tomer Galanti S. Dekel Yann LeCun SSL 23 34 0 24 May 2023
A Law of Data Separation in Deep Learning Hangfeng He Weijie J. Su OOD 24 36 0 31 Oct 2022
Perturbation Analysis of Neural Collapse Tom Tirer Haoxiang Huang Jonathan Niles-Weed AAML 35 23 0 29 Oct 2022
Nearest Class-Center Simplification through Intermediate Layers Ido Ben-Shaul S. Dekel 40 26 0 21 Jan 2022
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 130 165 0 29 Jan 2021
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding V. Papyan Yaniv Romano Michael Elad 56 284 0 27 Jul 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015