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Interpretable Convolutional Neural Networks

2 October 2017

Papers citing "Interpretable Convolutional Neural Networks"

50 / 314 papers shown

Title
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Thomas P. Quinn Stephan Jacobs M. Senadeera Vuong Le S. Coghlan 58 116 0 10 Dec 2020
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 70 18 0 10 Dec 2020
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks Christian Cosgrove Adam Kortylewski Chenglin Yang Alan Yuille AAML 62 4 0 01 Dec 2020
Problems of representation of electrocardiograms in convolutional neural networks Iana Sereda Sergey Alekseev A. Koneva Alexey Khorkin Grigory V. Osipov 24 1 0 01 Dec 2020
Unsupervised Part Discovery via Feature Alignment Mengqi Guo Yutong Bai Zhishuai Zhang Adam Kortylewski Alan Yuille OCL 3DPC 58 0 0 01 Dec 2020
Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation hsan Ullah André Ríos Vaibhav Gala Susan Mckeever FAtt 73 10 0 26 Nov 2020
Roof fall hazard detection with convolutional neural networks using transfer learning E. Isleyen Sebnem Duzgun McKell R. Carter 23 3 0 12 Nov 2020
Multi-document Summarization via Deep Learning Techniques: A Survey Congbo Ma W. Zhang Mingyu Guo Hu Wang Quan Z. Sheng 125 129 0 10 Nov 2020
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification Agus Sudjianto William Knauth Rahul Singh Zebin Yang Aijun Zhang FAtt 69 46 0 08 Nov 2020
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering Quan Hung Tran Nhan Dam T. Lai Franck Dernoncourt Trung Le Nham Le Dinh Q. Phung FAtt 30 4 0 05 Nov 2020
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers Rajat Sharma N. Reddy V. Kamakshi N. C. Krishnan Shweta Jain FAtt 58 7 0 03 Nov 2020
A Perspective on Machine Learning Methods in Turbulence Modelling Andrea Beck Marius Kurz AI4CE 83 102 0 23 Oct 2020
Convex Polytope Trees Mohammadreza Armandpour Mingyuan Zhou 60 1 0 21 Oct 2020
Edge Bias in Federated Learning and its Solution by Buffered Knowledge Distillation Sang-ho Lee Kiyoon Yoo Nojun Kwak FedML 120 2 0 20 Oct 2020
ERIC: Extracting Relations Inferred from Convolutions Joe Townsend Theodoros Kasioumis Hiroya Inakoshi NAI FAtt 82 16 0 19 Oct 2020
A Framework to Learn with Interpretation Jayneel Parekh Pavlo Mozharovskyi Florence dÁlché-Buc AI4CE FAtt 80 30 0 19 Oct 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 114 405 0 19 Oct 2020
Interpretable Neural Networks for Panel Data Analysis in Economics Yucheng Yang Zhong Zheng Weinan E 25 6 0 11 Oct 2020
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing Ping Lang Xiongjun Fu M. Martorella Jian Dong Rui Qin Xianpeng Meng M. Xie 41 42 0 29 Sep 2020
Disentangled Neural Architecture Search Xinyue Zheng Peng Wang Qigang Wang Zhongchao Shi AI4CE 52 4 0 24 Sep 2020
AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement Byungsoo Kim H.J. Terry Suh Jaewe Heo Youngduck Choi 32 7 0 18 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 122 28 0 18 Sep 2020
Reconstructing Actions To Explain Deep Reinforcement Learning Xuan Chen Zifan Wang Yucai Fan Bonan Jin Piotr (Peter) Mardziel Carlee Joe-Wong Anupam Datta FAtt 41 2 0 17 Sep 2020
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics Tiankai Xie Yuxin Ma Hanghang Tong My T. Thai Ross Maciejewski MLAU 42 7 0 15 Sep 2020
Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network Arnaud Boutillon Bhushan S Borotikar Valérie Burdin Pierre-Henri Conze MedIm 50 18 0 15 Sep 2020
Understanding the Role of Individual Units in a Deep Neural Network David Bau Jun-Yan Zhu Hendrik Strobelt Àgata Lapedriza Bolei Zhou Antonio Torralba GAN 82 455 0 10 Sep 2020
On Computability, Learnability and Extractability of Finite State Machines from Recurrent Neural Networks Reda Marzouk 38 2 0 10 Sep 2020
Region Comparison Network for Interpretable Few-shot Image Classification Z. Xue Lixin Duan Wen Li Lin Chen Jiebo Luo 61 16 0 08 Sep 2020
Mutual Information for Explainable Deep Learning of Multiscale Systems S. Taverniers E. Hall Markos A. Katsoulakis D. Tartakovsky 35 15 0 07 Sep 2020
Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning Yiming Li Jiawang Bai Jiawei Li Xue Yang Yong Jiang Shutao Xia 303 6 0 21 Aug 2020
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction David Leslie 194 67 0 15 Aug 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 75 56 0 14 Aug 2020
A Neural-Symbolic Framework for Mental Simulation Michael D Kissner 24 0 0 05 Aug 2020
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs Robin Rombach Patrick Esser Bjorn Ommer 88 16 0 04 Aug 2020
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies A. Markus J. Kors P. Rijnbeek 89 471 0 31 Jul 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters Haoyun Liang Zhihao Ouyang Yuyuan Zeng Hang Su Zihao He Shutao Xia Jun Zhu Bo Zhang 92 47 0 16 Jul 2020
A simple defense against adversarial attacks on heatmap explanations Laura Rieger Lars Kai Hansen FAtt AAML 92 37 0 13 Jul 2020
Locality Guided Neural Networks for Explainable Artificial Intelligence Randy Tan N. Khan L. Guan 20 8 0 12 Jul 2020
AutoEmbedder: A semi-supervised DNN embedding system for clustering Abu Quwsar Ohi M. F. Mridha Farisa Benta Safir Md. Abdul Hamid M. Monowar SSL 44 40 0 11 Jul 2020
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing Saeid Asgari Taghanaki Kaveh Hassani P. Jayaraman Amir Hosein Khas Ahmadi Tonya Custis 3DPC 54 8 0 09 Jul 2020
C2G-Net: Exploiting Morphological Properties for Image Classification L. Herbsthofer B. Prietl M. Tomberger Thomas W. Pieber P. López-García MedIm 14 1 0 07 Jul 2020
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion Adam Kortylewski Qing Liu Angtian Wang Yihong Sun Alan Yuille 79 78 0 28 Jun 2020
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors Ruihan Zhang Prashan Madumal Tim Miller Krista A. Ehinger Benjamin I. P. Rubinstein FAtt 103 106 0 27 Jun 2020
Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease Ning Wang Mingxuan Chen K. P. Subbalakshmi 57 23 0 25 Jun 2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning Johnathon Shook Tryambak Gangopadhyay Linjian Wu Baskar Ganapathysubramanian Soumik Sarkar Asheesh K. Singh 67 138 0 24 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI A. Tavanaei XAI 97 31 0 19 Jun 2020
Deep Learning with Functional Inputs Barinder Thind Kevin Multani Jiguo Cao 53 25 0 17 Jun 2020
Foreground-aware Semantic Representations for Image Harmonization Konstantin Sofiiuk Polina Popenova Anton Konushin 82 73 0 01 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 112 53 0 30 May 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 110 271 0 29 May 2020