Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation

15 December 2020

Stefan Kramer

Papers citing "Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation"

24 / 24 papers shown

Title
A Scalable Two Stage Approach to Computing Optimal Decision Sets Alexey Ignatiev Edward Lam Peter Stuckey Sasha Rubin 23 14 0 03 Feb 2021
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 90 307 0 10 Dec 2020
Optimal Decision Trees for Nonlinear Metrics Emir Demirović Peter Stuckey 109 21 0 15 Sep 2020
Efficient Exact Verification of Binarized Neural Networks Kai Jia Martin Rinard AAML MQ 26 59 0 07 May 2020
Layerwise Knowledge Extraction from Deep Convolutional Networks S. Odense Artur Garcez FAtt 44 10 0 19 Mar 2020
Differentiable Greedy Networks Thomas Powers Rasool Fakoor Siamak Shakeri A. Sethy Amanjit Kainth Abdel-rahman Mohamed R. Sarikaya 35 6 0 30 Oct 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm Zechun Liu Baoyuan Wu Wenhan Luo Xin Yang Wen Liu K. Cheng MQ 81 555 0 01 Aug 2018
Differentiable Submodular Maximization Sebastian Tschiatschek Aytunc Sahin Andreas Krause 50 45 0 05 Mar 2018
Towards Accurate Binary Convolutional Neural Network Xiaofan Lin Cong Zhao Wei Pan MQ 77 644 0 30 Nov 2017
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 64 780 0 02 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 262 8,876 0 25 Aug 2017
Teaching Compositionality to CNNs Austin Stone Hua-Yan Wang Michael Stark Yi Liu D. Phoenix Dileep George CoGe 45 54 0 14 Jun 2017
Convolutional Sequence to Sequence Learning Jonas Gehring Michael Auli David Grangier Denis Yarats Yann N. Dauphin AIMat 148 3,286 0 08 May 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 115 589 0 10 Mar 2017
Harnessing Deep Neural Networks with Logic Rules Zhiting Hu Xuezhe Ma Zhengzhong Liu Eduard H. Hovy Eric Xing AI4CE NAI 48 613 0 21 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 159 4,353 0 16 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,931 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 243 9,305 0 14 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 329 19,609 0 09 Mar 2015
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 107 1,963 0 26 Nov 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 303 7,289 0 20 Dec 2013
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 117 12,223 0 19 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 574 15,874 0 12 Nov 2013
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 374 3,128 0 15 Aug 2013