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In this manuscript, we show that any neural network with any activation function can be represented as a decision tree.
Entropy nets: from decision trees to neural networks
Ishwar Krishnan Sethi · 1990
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Deep inside convolutional networks: Visualising image classification models and saliency maps
Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2013
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Visualizing and understanding convolutional networks
Matthew D Zeiler and Rob Fergus · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Deep neural decision forests
Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, and Samuel Rota Bulo · 2015
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Network of experts for large-scale image categorization
Karim Ahmed, Mohammad Haris Baig, and Lorenzo Torresani · 2016
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Blockout: Dynamic model selection for hierarchical deep networks
Calvin Murdock, Zhen Li, Howard Zhou, and Tom Duerig · 2016
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Deep decision network for multi-class image classification
Venkatesh N Murthy, Vivek Singh, Terrence Chen, R Manmatha, and Dorin Comaniciu · 2016
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Monocular depth estimation using neural regression forest
Anirban Roy and Sinisa Todorovic · 2016
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Learning deep features for discriminative localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
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Distilling a neural network into a soft decision tree
Nicholas Frosst and Geoffrey Hinton · 2017
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Deciding how to decide: Dynamic routing in artificial neural networks
Mason McGill and Pietro Perona · 2017
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Yolo9000: better, faster, stronger
Joseph Redmon and Ali Farhadi · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Mad max: Affine spline insights into deep learning
Randall Balestriero and Richard Baraniuk · 2018
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Beyond sparsity: Tree regularization of deep models for interpretability
Mike Wu, Michael Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, and Finale Doshi-Velez · 2018
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Yongxin Yang, Irene Garcia Morillo, and Timothy M Hospedales · 2018
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Top-down neural attention by excitation backprop
Jianming Zhang, Sarah Adel Bargal, Zhe Lin, Jonathan Brandt, Xiaohui Shen, and Stan Sclaroff · 2018
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Tropical geometry of deep neural networks
Liwen Zhang, Gregory Naitzat, and Lek-Heng Lim · 2018
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Use hirescam instead of grad-cam for faithful explanations of convolutional neural networks
Rachel Lea Draelos and Lawrence Carin · 2020
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Eigen-cam: Class activation map using principal components
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Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks
Aditya Chattopadhay, Anirban Sarkar, Prantik Howlader, and Vineeth N Balasubramanian · 2018
Cited alongside, same era.
Deep feature factorization for concept discovery
Edo Collins, Radhakrishna Achanta, and Sabine Susstrunk · 2018
Cited alongside, same era.
Deep neural network initialization with decision trees
Kelli D Humbird, J Luc Peterson, and Ryan G McClarren · 2018
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Hydranets: Specialized dynamic architectures for efficient inference
Ravi Teja Mullapudi, William R Mark, Noam Shazeer, and Kayvon Fatahalian · 2018
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Convolutional networks with adaptive inference graphs
Andreas Veit and Serge Belongie · 2018
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Mohammed Bany Muhammad and Mohammed Yeasin · 2020
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Towards interpretable anns: An exact transformation to multi-class multivariate decision trees
Duy T Nguyen, Kathryn E Kasmarik, and Hussein A Abbass · 2020
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Unwrapping the black box of deep relu networks: interpretability, diagnostics, and simplification
Agus Sudjianto, William Knauth, Rahul Singh, Zebin Yang, and Aijun Zhang · 2020
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Nbdt: neural-backed decision trees
Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, and Joseph E Gonzalez · 2020
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