Interpretable Convolutional Neural Networks

2 October 2017

Papers citing "Interpretable Convolutional Neural Networks"

37 / 37 papers shown

Title
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 265 33 0 30 Aug 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 122 1 0 01 Jul 2024
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 218 8 0 14 Sep 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 104 3 0 24 Aug 2023
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction David Leslie 172 67 0 15 Aug 2020
Visual Interpretability for Deep Learning: a Survey Quanshi Zhang Song-Chun Zhu FaML HAI 135 819 0 02 Feb 2018
Examining CNN Representations with respect to Dataset Bias Quanshi Zhang Wenguan Wang Song-Chun Zhu SSL FAtt 51 104 0 29 Oct 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 174 4,596 0 26 Oct 2017
Interpreting CNN Knowledge via an Explanatory Graph Quanshi Zhang Ruiming Cao Feng Shi Ying Nian Wu Song-Chun Zhu FAtt GNN SSL 56 242 0 05 Aug 2017
Teaching Compositionality to CNNs Austin Stone Hua-Yan Wang Michael Stark Yi Liu D. Phoenix Dileep George CoGe 47 54 0 14 Jun 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 146 1,516 1 19 Apr 2017
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks Devinder Kumar Alexander Wong Graham W. Taylor 60 61 0 13 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 74 1,520 0 11 Apr 2017
Mining Object Parts from CNNs via Active Question-Answering Quanshi Zhang Ruiming Cao Ying Nian Wu Song-Chun Zhu 50 25 0 11 Apr 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 208 2,894 0 14 Mar 2017
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations A. Ross M. C. Hughes Finale Doshi-Velez FAtt 120 589 0 10 Mar 2017
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning Quanshi Zhang Ruiming Cao Ying Nian Wu Song-Chun Zhu 50 70 0 14 Nov 2016
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration Himabindu Lakkaraju Ece Kamar R. Caruana Eric Horvitz 49 152 0 28 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 297 20,003 0 07 Oct 2016
Towards Transparent AI Systems: Interpreting Visual Question Answering Models Yash Goyal Akrit Mohapatra Devi Parikh Dhruv Batra 42 74 0 31 Aug 2016
Harnessing Deep Neural Networks with Logic Rules Zhiting Hu Xuezhe Ma Zhengzhong Liu Eduard H. Hovy Eric Xing AI4CE NAI 56 614 0 21 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,319 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Inverting Visual Representations with Convolutional Networks Alexey Dosovitskiy Thomas Brox SSL FAtt 65 665 0 09 Jun 2015
Understanding deep features with computer-generated imagery Mathieu Aubry Bryan C. Russell 72 149 0 03 Jun 2015
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks Marcel Simon E. Rodner 69 412 0 30 Apr 2015
Object Detectors Emerge in Deep Scene CNNs Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 137 1,283 0 22 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 121 1,962 0 26 Nov 2014
Part Detector Discovery in Deep Convolutional Neural Networks Marcel Simon E. Rodner Joachim Denzler ObjD 62 76 0 12 Nov 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts Xianjie Chen Roozbeh Mottaghi Xiaobai Liu Sanja Fidler R. Urtasun Alan Yuille 98 640 0 08 Jun 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 270 14,918 1 21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,295 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,882 0 12 Nov 2013
Unsupervised Discovery of Mid-Level Discriminative Patches Saurabh Singh Abhinav Gupta Alexei A. Efros OCL 78 590 0 14 May 2012