Deep Residual Networks with Exponential Linear Unit

14 April 2016

Papers citing "Deep Residual Networks with Exponential Linear Unit"

10 / 10 papers shown

Title
Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies Ivan Drokin 42 19 0 01 Jul 2024
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 29 71 0 06 Sep 2022
Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX Xia Chen Xiangbin Teng Hannah S. Chen Yafeng Pan Philipp Geyer 12 44 0 15 Jul 2022
Signing the Supermask: Keep, Hide, Invert Nils Koster O. Grothe Achim Rettinger 23 10 0 31 Jan 2022
Grading video interviews with fairness considerations A. Singhania Abhishek Unnam V. Aggarwal 20 6 0 02 Jul 2020
Improving Deep Learning by Inverse Square Root Linear Units (ISRLUs) B. Carlile G. Delamarter Paul Kinney Akiko Marti Brian Whitney 19 42 0 27 Oct 2017
Pyramidal RoR for Image Classification Ke Zhang Liru Guo Ce Gao Zhenbing Zhao 30 20 0 01 Oct 2017
Convergence Results for Neural Networks via Electrodynamics Rina Panigrahy Sushant Sachdeva Qiuyi Zhang MLT MDE 24 22 0 01 Feb 2017
Residual Networks of Residual Networks: Multilevel Residual Networks Ke Zhang Miao Sun T. Han Xingfang Yuan Liru Guo Tao Liu 16 302 0 09 Aug 2016
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks Ludovic Trottier Philippe Giguère B. Chaib-draa 20 199 0 30 May 2016