Modeling from Features: a Mean-field Framework for Over-parameterized
Deep Neural Networks

Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks

3 July 2020

Cong Fang

Pengkun Yang

Tong Zhang

Papers citing "Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks"

9 / 9 papers shown

Title
A mean-field limit for certain deep neural networks Dyego Araújo R. Oliveira Daniel Yukimura AI4CE 55 70 0 01 Jun 2019
Mean Field Analysis of Deep Neural Networks Justin A. Sirignano K. Spiliopoulos 54 82 0 11 Mar 2019
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks Difan Zou Yuan Cao Dongruo Zhou Quanquan Gu ODL 156 448 0 21 Nov 2018
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers Zeyuan Allen-Zhu Yuanzhi Li Yingyu Liang MLT 161 772 0 12 Nov 2018
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel Colin Wei Jason D. Lee Qiang Liu Tengyu Ma 173 244 0 12 Oct 2018
Gradient Descent Provably Optimizes Over-parameterized Neural Networks S. Du Xiyu Zhai Barnabás Póczós Aarti Singh MLT ODL 192 1,270 0 04 Oct 2018
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data Yuanzhi Li Yingyu Liang MLT 190 653 0 03 Aug 2018
Identity Matters in Deep Learning Moritz Hardt Tengyu Ma OOD 81 399 0 14 Nov 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 278 18,587 0 06 Feb 2015