Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network

28 April 2021

Papers citing "Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network"

9 / 9 papers shown

Title
GANSpace: Discovering Interpretable GAN Controls Erik Härkönen Aaron Hertzmann J. Lehtinen Sylvain Paris 123 902 0 06 Apr 2020
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 259 86 0 12 Sep 2019
A Comprehensive Overhaul of Feature Distillation Byeongho Heo Jeesoo Kim Sangdoo Yun Hyojin Park Nojun Kwak J. Choi 86 584 0 03 Apr 2019
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 153 1,654 0 01 Jun 2017
End-to-end representation learning for Correlation Filter based tracking Jack Valmadre Luca Bertinetto João F. Henriques Andrea Vedaldi Philip Torr 91 1,399 0 20 Apr 2017
Language Modeling with Gated Convolutional Networks Yann N. Dauphin Angela Fan Michael Auli David Grangier 242 2,404 0 23 Dec 2016
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 147 2,586 0 12 Dec 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 351 8,000 0 23 May 2016
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 314 3,898 0 19 Dec 2014