Implicit Regularization in Deep Matrix Factorization

31 May 2019

Papers citing "Implicit Regularization in Deep Matrix Factorization"

9 / 109 papers shown

Title
Neural Similarity Learning Weiyang Liu Zhen Liu James M. Rehg Le Song 27 29 0 28 Oct 2019
The Local Elasticity of Neural Networks Hangfeng He Weijie J. Su 40 44 0 15 Oct 2019
Bregman Proximal Framework for Deep Linear Neural Networks Mahesh Chandra Mukkamala Felix Westerkamp Emanuel Laude Daniel Cremers Peter Ochs 11 7 0 08 Oct 2019
Modelling the influence of data structure on learning in neural networks: the hidden manifold model Sebastian Goldt M. Mézard Florent Krzakala Lenka Zdeborová BDL 29 51 0 25 Sep 2019
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks Kaifeng Lyu Jian Li 52 322 0 13 Jun 2019
Kernel and Rich Regimes in Overparametrized Models Blake E. Woodworth Suriya Gunasekar Pedro H. P. Savarese E. Moroshko Itay Golan J. Lee Daniel Soudry Nathan Srebro 24 352 0 13 Jun 2019
Understanding and Training Deep Diagonal Circulant Neural Networks Alexandre Araujo Benjamin Négrevergne Y. Chevaleyre Jamal Atif 27 4 0 29 Jan 2019
Machine learning for neural decoding Joshua I. Glaser Ari S. Benjamin Raeed H. Chowdhury M. Perich L. Miller Konrad Paul Kording 30 241 0 02 Aug 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016