On the Computational Efficiency of Training Neural Networks

5 October 2014

Papers citing "On the Computational Efficiency of Training Neural Networks"

11 / 11 papers shown

Title
Training Large Neural Networks With Low-Dimensional Error Feedback Maher Hanut Jonathan Kadmon 76 1 0 27 Feb 2025
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations Akshay Kumar Jarvis Haupt ODL 57 3 0 12 Mar 2024
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding Zhengqing Wu Berfin Simsek Francois Ged ODL 64 0 0 08 Feb 2024
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 54 1 0 13 Sep 2023
Nonparametric Learning of Two-Layer ReLU Residual Units Zhunxuan Wang Linyun He Chunchuan Lyu Shay B. Cohen MLT OffRL 99 1 0 17 Aug 2020
Large-time asymptotics in deep learning Carlos Esteve Borjan Geshkovski Dario Pighin Enrique Zuazua 72 34 0 06 Aug 2020
Deep Semi-Random Features for Nonlinear Function Approximation Kenji Kawaguchi Bo Xie Vikas Verma Le Song 108 15 0 28 Feb 2017
Exponentially vanishing sub-optimal local minima in multilayer neural networks Daniel Soudry Elad Hoffer 108 97 0 19 Feb 2017
From average case complexity to improper learning complexity Amit Daniely N. Linial Shai Shalev-Shwartz 64 120 0 10 Nov 2013
Building high-level features using large scale unsupervised learning Quoc V. Le MarcÁurelio Ranzato R. Monga M. Devin Kai Chen G. Corrado J. Dean A. Ng SSL OffRL CVBM 93 2,268 0 29 Dec 2011
Large-Scale Convex Minimization with a Low-Rank Constraint Shai Shalev-Shwartz Alon Gonen Ohad Shamir 75 160 0 08 Jun 2011