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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

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Title
Explainable Deep Modeling of Tabular Data using TableGraphNet G. Terejanu Jawad Chowdhury Rezaur Rashid Asif J. Chowdhury LMTD FAtt 16 3 0 12 Feb 2020
Self-explaining AI as an alternative to interpretable AI Daniel C. Elton 94 56 0 12 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 113 505 0 12 Feb 2020
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks Joseph D. Janizek Pascal Sturmfels Su-In Lee FAtt 85 149 0 10 Feb 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning Yaodong Yang Jianye Hao Guangyong Chen Hongyao Tang Yingfeng Chen Yujing Hu Changjie Fan Zhongyu Wei 78 52 0 10 Feb 2020
Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks Rahul Soni Naresh Shah Chua Tat Seng J. D. Moore AAML FAtt 24 8 0 10 Feb 2020
Multi-Objective Molecule Generation using Interpretable Substructures Wengong Jin Regina Barzilay Tommi Jaakkola 98 23 0 08 Feb 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 109 98 0 07 Feb 2020
If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills Ziang Xiao Michelle X. Zhou Wenxi Chen Huahai Yang C. Chi 88 95 0 05 Feb 2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations S. Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava S. Kambhampati 130 31 0 04 Feb 2020
DANCE: Enhancing saliency maps using decoys Y. Lu Wenbo Guo Masashi Sugiyama William Stafford Noble AAML 85 14 0 03 Feb 2020
$¶$ ILCRO: Making Importance Landscapes Flat Again Vincent Moens Simiao Yu G. Salimi-Khorshidi 29 0 0 27 Jan 2020
Explaining with Counter Visual Attributes and Examples Sadaf Gulshad A. Smeulders XAI FAtt AAML 77 15 0 27 Jan 2020
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas Nishant Kumar Nico Hoffmann M. Kirsch Stefan Gumhold MedIm 36 3 0 26 Jan 2020
CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images Mariia Dobko B. Petryshak Oles Dobosevych 21 4 0 23 Jan 2020
Evaluating Weakly Supervised Object Localization Methods Right Junsuk Choe Seong Joon Oh Seungho Lee Sanghyuk Chun Zeynep Akata Hyunjung Shim WSOL 408 189 0 21 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices Xiaolong Ma Wei Niu Tianyun Zhang Sijia Liu Sheng Lin ... Xiang Chen Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang 103 27 0 20 Jan 2020
An interpretable neural network model through piecewise linear approximation Mengzhuo Guo Qingpeng Zhang Xiuwu Liao D. Zeng MILM FAtt 51 8 0 20 Jan 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Q. Huang M. Yamada Yuan Tian Dinesh Singh D. Yin Yi-Ju Chang FAtt 104 361 0 17 Jan 2020
Extending Class Activation Mapping Using Gaussian Receptive Field Bum Jun Kim Gyogwon Koo Hyeyeon Choi Sang Woo Kim 38 7 0 15 Jan 2020
An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs Joseph D. Janizek G. Erion A. DeGrave Su-In Lee OOD MedIm 69 29 0 13 Jan 2020
Interpretable feature subset selection: A Shapley value based approach Sandhya Tripathi N. Hemachandra Prashant Trivedi TDI FAtt 73 2 0 12 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 94 318 0 08 Jan 2020
Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models Jiamei Sun Sebastian Lapuschkin Wojciech Samek Alexander Binder FAtt 98 30 0 04 Jan 2020
Restricting the Flow: Information Bottlenecks for Attribution Karl Schulz Leon Sixt Federico Tombari Tim Landgraf FAtt 69 192 0 02 Jan 2020
RPGAN: GANs Interpretability via Random Routing A. Voynov Artem Babenko GAN 66 7 0 23 Dec 2019
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution Nikaash Puri Sukriti Verma Piyush B. Gupta Dhruv Kayastha Shripad Deshmukh Balaji Krishnamurthy Sameer Singh FAtt AAML 86 79 0 23 Dec 2019
Finding and Removing Clever Hans: Using Explanation Methods to Debug and Improve Deep Models Christopher J. Anders Talmaj Marinc David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin AAML 88 20 0 22 Dec 2019
secml: A Python Library for Secure and Explainable Machine Learning Maura Pintor Christian Scano Angelo Sotgiu Marco Melis Ambra Demontis Battista Biggio AAML 93 15 0 20 Dec 2019
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt Maximilian Granz Tim Landgraf BDL FAtt XAI 96 132 0 20 Dec 2019
Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball Andrew Elliott Stephen Law Chris Russell AAML 55 4 0 19 Dec 2019
Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks B. Chatterjee Charalambos (Charis) Poullis SSeg 33 17 0 19 Dec 2019
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis Richard J. Chen Ming Y. Lu Jingwen Wang Drew F. K. Williamson S. Rodig N. Lindeman Faisal Mahmood 99 414 0 18 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 87 28 0 18 Dec 2019
Meshed-Memory Transformer for Image Captioning Marcella Cornia Matteo Stefanini Lorenzo Baraldi Rita Cucchiara 110 890 0 17 Dec 2019
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt Jialing Lyu Weichao Qiu Xinyue Wei Yi Zhang Alan Yuille Zhengjun Zha VLM 51 3 0 13 Dec 2019
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction Hidenori Tanaka Aran Nayebi Niru Maheswaranathan Lane T. McIntosh S. Baccus Surya Ganguli FAtt 60 61 0 12 Dec 2019
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples Angie Boggust Brandon Carter Arvind Satyanarayan 102 65 0 10 Dec 2019
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness Adam Noack Isaac Ahern Dejing Dou Boyang Albert Li OOD AAML 158 10 0 07 Dec 2019
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models Daniel Omeiza FAtt 23 0 0 03 Dec 2019
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 65 305 0 03 Dec 2019
Overcoming Catastrophic Forgetting by Generative Regularization Peiqiu Chen Wei Wei Cho-Jui Hsieh Bo Dai CLL 60 17 0 03 Dec 2019
Automated Dependence Plots David I. Inouye Liu Leqi Joon Sik Kim Bryon Aragam Pradeep Ravikumar 73 1 0 02 Dec 2019
A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors Edward J. Kim D. Gopinath C. Păsăreanu Sanjit A. Seshia 47 26 0 01 Dec 2019
Sanity Checks for Saliency Metrics Richard J. Tomsett Daniel Harborne Supriyo Chakraborty Prudhvi K. Gurram Alun D. Preece XAI 125 170 0 29 Nov 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment M. Singh Nupur Kumari Puneet Mangla Abhishek Sinha V. Balasubramanian Balaji Krishnamurthy OOD 98 10 0 29 Nov 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 120 369 0 27 Nov 2019
Explaining Models by Propagating Shapley Values of Local Components Hugh Chen Scott M. Lundberg Su-In Lee FAtt FedML 88 110 0 27 Nov 2019
Efficient Saliency Maps for Explainable AI T. Nathan Mundhenk Barry Y. Chen Gerald Friedland XAI FAtt 70 77 0 26 Nov 2019
Improving Feature Attribution through Input-specific Network Pruning Ashkan Khakzar Soroosh Baselizadeh Saurabh Khanduja Christian Rupprecht S. T. Kim Nassir Navab FAtt 58 11 0 25 Nov 2019