Mollifying Networks

17 August 2016

Papers citing "Mollifying Networks"

10 / 10 papers shown

Title
Homotopy-based training of NeuralODEs for accurate dynamics discovery Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 43 8 0 04 Oct 2022
Batch Normalization Explained Randall Balestriero Richard G. Baraniuk AAML 30 16 0 29 Sep 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape Devansh Bisla Jing Wang A. Choromańska 25 34 0 20 Jan 2022
Towards Self-Adaptive Metric Learning On the Fly Y. Gao Yifan Li Swarup Chandra Latifur Khan B. Thuraisingham 19 20 0 03 Apr 2021
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization Jung-Kyun Cho Junseok Kwon Byung-Woo Hong 26 1 0 23 Jul 2019
Post-synaptic potential regularization has potential Enzo Tartaglione Daniele Perlo Marco Grangetto BDL AAML 13 6 0 19 Jul 2019
Maximum Mean Discrepancy Gradient Flow Michael Arbel Anna Korba Adil Salim A. Gretton 24 158 0 11 Jun 2019
Min-Entropy Latent Model for Weakly Supervised Object Detection Fang Wan Pengxu Wei Zhenjun Han Jianbin Jiao QiXiang Ye WSOD 19 216 0 16 Feb 2019
Stochastic Training of Neural Networks via Successive Convex Approximations Simone Scardapane P. Di Lorenzo 14 9 0 15 Jun 2017
Activation Ensembles for Deep Neural Networks Mark Harmon Diego Klabjan 20 35 0 24 Feb 2017