RISE: Randomized Input Sampling for Explanation of Black-box Models

19 June 2018

Abir Das

Papers citing "RISE: Randomized Input Sampling for Explanation of Black-box Models"

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Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 95 0 01 Jul 2021
Explainable Diabetic Retinopathy Detection and Retinal Image Generation Yuhao Niu Lin Gu Yitian Zhao Feng Lu MedIm 24 58 0 01 Jul 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 33 3 0 26 Jun 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy Christopher J. Anders David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin 33 64 0 24 Jun 2021
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian 27 54 0 20 Jun 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise A. Kapishnikov Subhashini Venugopalan Besim Avci Benjamin D. Wedin Michael Terry Tolga Bolukbasi 32 91 0 17 Jun 2021
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data Lev V. Utkin A. Konstantinov Kirill Vishniakov FAtt 29 5 0 16 Jun 2021
Keep CALM and Improve Visual Feature Attribution Jae Myung Kim Junsuk Choe Zeynep Akata Seong Joon Oh FAtt 350 20 0 15 Jun 2021
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning Yatao Bian Yu Rong Tingyang Xu Jiaxiang Wu Andreas Krause Junzhou Huang 40 16 0 05 Jun 2021
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes D. Bashkirova M. Abdelfattah Ziliang Zhu James Akl Fadi M. Alladkani Ping Hu Vitaly Ablavsky B. Çalli Sarah Adel Bargal Kate Saenko 20 49 0 04 Jun 2021
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention T. Gomez Suiyi Ling Thomas Fréour Harold Mouchère 29 5 0 04 Jun 2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores Giang Nguyen Daeyoung Kim Anh Totti Nguyen FAtt 21 86 0 31 May 2021
EDDA: Explanation-driven Data Augmentation to Improve Explanation Faithfulness Ruiwen Li Zhibo Zhang Jiani Li C. Trabelsi Scott Sanner Jongseong Jang Yeonjeong Jeong Dongsub Shim AAML 13 1 0 29 May 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 29 140 0 17 May 2021
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto 21 5 0 16 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 29 183 0 15 May 2021
What's wrong with this video? Comparing Explainers for Deepfake Detection Samuele Pino Mark J. Carman Paolo Bestagini AAML 20 7 0 12 May 2021
LFI-CAM: Learning Feature Importance for Better Visual Explanation Kwang Hee Lee Chaewon Park J. Oh Nojun Kwak FAtt 32 27 0 03 May 2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities Julia Rosenzweig Joachim Sicking Sebastian Houben Michael Mock Maram Akila AAML 29 3 0 22 Apr 2021
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis Samuele Poppi Marcella Cornia Lorenzo Baraldi Rita Cucchiara FAtt 131 33 0 20 Apr 2021
Improving Attribution Methods by Learning Submodular Functions Piyushi Manupriya Tarun Ram Menta S. Jagarlapudi V. Balasubramanian TDI 24 6 0 19 Apr 2021
SurvNAM: The machine learning survival model explanation Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 44 28 0 18 Apr 2021
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance An Zhang Xiang Wang Chengfang Fang Jie Shi Tat-Seng Chua Zehua Chen FAtt 26 3 0 12 Apr 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features Ashkan Khakzar Yang Zhang W. Mansour Yuezhi Cai Yawei Li Yucheng Zhang Seong Tae Kim Nassir Navab FAtt 52 17 0 01 Apr 2021
NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization Tien-Ju Yang Yi-Lun Liao Vivienne Sze 33 55 0 31 Mar 2021
Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models Arijit Ray Michael Cogswell Xiaoyu Lin Kamran Alipour Ajay Divakaran Yi Yao Giedrius Burachas FAtt 11 4 0 26 Mar 2021
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation Dohun Lim Hyeonseok Lee Sungchan Kim FAtt AAML 28 13 0 26 Mar 2021
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation Yi Sun Abel N. Valente Sijia Liu Dakuo Wang AAML 8 7 0 25 Mar 2021
Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks Qing-Long Zhang Lu Rao Yubin Yang 16 58 0 25 Mar 2021
Extracting Causal Visual Features for Limited label Classification Mohit Prabhushankar Ghassan AlRegib CML 27 21 0 23 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 23 317 0 19 Mar 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset Antonios Mamalakis I. Ebert‐Uphoff E. Barnes OOD 28 75 0 18 Mar 2021
Explanations for Occluded Images Hana Chockler Daniel Kroening Youcheng Sun 22 21 0 05 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 16 20 0 04 Mar 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 33 221 0 25 Feb 2021
Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping Jessica Cooper Ognjen Arandjelovic David J. Harrison AAML 14 13 0 22 Feb 2021
Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring S. Sattarzadeh M. Sudhakar Konstantinos N. Plataniotis Jongseong Jang Yeonjeong Jeong Hyunwoo J. Kim FAtt 14 37 0 15 Feb 2021
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks M. Sudhakar S. Sattarzadeh Konstantinos N. Plataniotis Jongseong Jang Yeonjeong Jeong Hyunwoo J. Kim AAML 11 10 0 15 Feb 2021
Towards Better Explanations of Class Activation Mapping Hyungsik Jung Youngrock Oh FAtt 6 71 0 10 Feb 2021
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching Scott Cheng-Hsin Yang Wai Keen Vong Ravi B. Sojitra Tomas Folke Patrick Shafto 16 42 0 07 Feb 2021
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison Lukas Brunke Prateek Agrawal Nikhil George AAML FAtt 22 13 0 26 Jan 2021
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method Satya M. Muddamsetty M. N. Jahromi Andreea-Emilia Ciontos Laura M. Fenoy T. Moeslund AAML 40 26 0 26 Jan 2021
Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents Tobias Huber Benedikt Limmer Elisabeth André FAtt 20 14 0 18 Jan 2021
Generating Attribution Maps with Disentangled Masked Backpropagation Adria Ruiz Antonio Agudo Francesc Moreno FAtt 14 1 0 17 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 65 100 0 11 Jan 2021
iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations Saeed Khorram T. Lawson Fuxin Li AAML FAtt 11 26 0 31 Dec 2020
Quantitative Evaluations on Saliency Methods: An Experimental Study Xiao-hui Li Yuhan Shi Haoyang Li Wei Bai Yuanwei Song Caleb Chen Cao Lei Chen FAtt XAI 42 18 0 31 Dec 2020
Enhanced Regularizers for Attributional Robustness A. Sarkar Anirban Sarkar V. Balasubramanian 24 16 0 28 Dec 2020
AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators Qing Wan Yoonsuck Choe 23 1 0 16 Dec 2020
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations Woo-Jeoung Nam Jaesik Choi Seong-Whan Lee FAtt AAML 22 14 0 07 Dec 2020