Learning Neural Network Architectures using Backpropagation

17 November 2015

Papers citing "Learning Neural Network Architectures using Backpropagation"

8 / 8 papers shown

Title
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models D. Honegger Konstantin Schurholt Damian Borth 35 4 0 26 Apr 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training Xiaoying Zhi Varun Babbar P. Sun Fran Silavong Ruibo Shi Sean J. Moran Sean Moran 55 1 0 17 Feb 2023
Towards Self-Adaptive Metric Learning On the Fly Y. Gao Yifan Li Swarup Chandra Latifur Khan B. Thuraisingham 27 21 0 03 Apr 2021
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and $L_0$ Regularization Yaniv Shulman 46 3 0 07 Dec 2020
Principal Component Networks: Parameter Reduction Early in Training R. Waleffe Theodoros Rekatsinas 3DPC 13 9 0 23 Jun 2020
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network K. Nishida H. Aguirre Shota Saito Shinichi Shirakawa Youhei Akimoto 16 1 0 18 Sep 2018
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 53 558 0 05 Jul 2017
Training Sparse Neural Networks Suraj Srinivas Akshayvarun Subramanya R. Venkatesh Babu 19 204 0 21 Nov 2016