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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Title
Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Tong Zhang Xu Guo Zhiqi Shen XAI 19 18 0 15 Mar 2024
What Sketch Explainability Really Means for Downstream Tasks Hmrishav Bandyopadhyay Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Tao Xiang Yi-Zhe Song 30 4 0 14 Mar 2024
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers Francesco Dibitonto Fabio Garcea Andre' Panisson Alan Perotti Lia Morra AAML 29 0 0 13 Mar 2024
Feature CAM: Interpretable AI in Image Classification Frincy Clement Ji Yang Irene Cheng FAtt 26 1 0 08 Mar 2024
Explainable Face Verification via Feature-Guided Gradient Backpropagation Yuhang Lu Zewei Xu Touradj Ebrahimi FAtt CVBM AAML 32 5 0 07 Mar 2024
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers Mariano V. Ntrougkas Nikolaos Gkalelis Vasileios Mezaris FAtt ViT 27 5 0 07 Mar 2024
Understanding the Role of Pathways in a Deep Neural Network Lei Lyu Chen Pang Jihua Wang 27 3 0 28 Feb 2024
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks Truong Thanh Hung Nguyen Tobias Clement Phuc Truong Loc Nguyen Nils Kemmerzell Van Binh Truong V. Nguyen Mohamed Abdelaal Hung Cao VLM 34 7 0 19 Feb 2024
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry Lars Nieradzik Henrike Stephani Jördis Sieburg-Rockel Stephanie Helmling Andrea Olbrich Janis Keuper FAtt 42 3 0 18 Feb 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei K. Ramamurthy FAtt 21 2 0 17 Feb 2024
Explaining generative diffusion models via visual analysis for interpretable decision-making process Ji-Hoon Park Yeong-Joon Ju Seong-Whan Lee FAtt DiffM 32 14 0 16 Feb 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 23 3 0 15 Feb 2024
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution Ángel Delgado-Panadero Beatriz Hernández-Lorca María Teresa García-Ordás J. Benítez-Andrades 32 52 0 14 Feb 2024
Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence C. Coglianese Colton R. Crum FaML 29 2 0 13 Feb 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review Anton Kuznietsov Balint Gyevnar Cheng Wang Steven Peters Stefano V. Albrecht XAI 28 26 0 08 Feb 2024
How phonemes contribute to deep speaker models? Pengqi Li Tianhao Wang Lantian Li A. Hamdulla Dong Wang 29 2 0 05 Feb 2024
How many views does your deep neural network use for prediction? Keisuke Kawano Takuro Kutsuna Keisuke Sano AI4CE 23 0 0 02 Feb 2024
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues Soufiane Belharbi M. Pedersoli A. L. Koerich Simon L Bacon Eric Granger 39 12 0 01 Feb 2024
Bridging Human Concepts and Computer Vision for Explainable Face Verification Miriam Doh Caroline Mazini Rodrigues Nicolas Boutry Laurent Najman M. Mancas H. Bersini CVBM 27 0 0 30 Jan 2024
Dual feature-based and example-based explanation methods A. Konstantinov Boris V. Kozlov Stanislav R. Kirpichenko Lev V. Utkin FAtt 28 0 0 29 Jan 2024
DAM: Diffusion Activation Maximization for 3D Global Explanations Hanxiao Tan 19 1 0 26 Jan 2024
Interactive Mars Image Content-Based Search with Interpretable Machine Learning Bhavan Kumar Vasu Steven Lu Emily Dunkel K. Wagstaff Kevin Grimes Michael McAuley 16 0 0 19 Jan 2024
Understanding Video Transformers via Universal Concept Discovery M. Kowal Achal Dave Rares Ambrus Adrien Gaidon Konstantinos G. Derpanis P. Tokmakov ViT 37 8 0 19 Jan 2024
Path Choice Matters for Clear Attribution in Path Methods Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 16 1 0 19 Jan 2024
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection Tobias Clement Truong Thanh Hung Nguyen Mohamed Abdelaal Hung Cao 18 1 0 18 Jan 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 63 20 0 12 Jan 2024
AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding Xiwei Xuan Jorge Henrique Piazentin Ono Liang Gou Kwan-Liu Ma Liu Ren 50 1 0 12 Jan 2024
Identifying Important Group of Pixels using Interactions Kosuke Sumiyasu Kazuhiko Kawamoto Hiroshi Kera 21 2 0 08 Jan 2024
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification Shuge Lei Haonan Hu Desheng Sun Huabin Zhang Kehong Yuan Jian Dai Jijun Tang Yan Tong 35 0 0 08 Jan 2024
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution Ying Wang Tim G. J. Rudner Andrew Gordon Wilson 15 19 0 28 Dec 2023
TVE: Learning Meta-attribution for Transferable Vision Explainer Guanchu Wang Yu-Neng Chuang Fan Yang Mengnan Du Chia-Yuan Chang ... Zirui Liu Zhaozhuo Xu Kaixiong Zhou Xuanting Cai Xia Hu 33 1 0 23 Dec 2023
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps Till Beemelmanns Wassim Zahr Lutz Eckstein 29 0 0 22 Dec 2023
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks Zhiyu Zhu Huaming Chen Jiayu Zhang Xinyi Wang Zhibo Jin Minhui Xue Dongxiao Zhu Kim-Kwang Raymond Choo FAtt 15 10 0 21 Dec 2023
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance Jung-Ho Hong Woo-Jeoung Nam Kyu-Sung Jeon Seong-Whan Lee 13 3 0 21 Dec 2023
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise Yao Rong Peizhu Qian Vaibhav Unhelkar Enkelejda Kasneci 34 0 0 19 Dec 2023
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Tom Nuno Wolf Fabian Bongratz Anne-Marie Rickmann Sebastian Polsterl Christian Wachinger AAML FAtt 40 6 0 15 Dec 2023
CGS-Mask: Making Time Series Predictions Intuitive for All Feng Lu Wei Li Yifei Sun Cheng Song Yufei Ren Albert Y. Zomaya AI4TS 17 0 0 15 Dec 2023
Evaluating the Utility of Model Explanations for Model Development Shawn Im Jacob Andreas Yilun Zhou XAI FAtt ELM 19 1 0 10 Dec 2023
FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision Ravidu Suien Rammuni Silva Jordan J. Bird FAtt 8 1 0 10 Dec 2023
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models Balachandar Gowrisankar V. Thing AAML 28 11 0 08 Dec 2023
Class-Discriminative Attention Maps for Vision Transformers L. Brocki Jakub Binda N. C. Chung MedIm 30 3 0 04 Dec 2023
CLIP-QDA: An Explainable Concept Bottleneck Model Rémi Kazmierczak Eloise Berthier Goran Frehse Gianni Franchi 14 7 0 30 Nov 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 20 1 0 30 Nov 2023
Enhancing Post-Hoc Explanation Benchmark Reliability for Image Classification T. Gomez Harold Mouchère FAtt 16 0 0 29 Nov 2023
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space Pedro Valois Koichiro Niinuma Kazuhiro Fukui AAML 24 4 0 25 Nov 2023
MRxaI: Black-Box Explainability for Image Classifiers in a Medical Setting Nathan Blake Hana Chockler David A. Kelly Santiago Calderón-Pena Akchunya Chanchal 15 1 0 24 Nov 2023
You Only Explain Once David A. Kelly Hana Chockler Daniel Kroening Nathan Blake Aditi Ramaswamy Melane Navaratnarajah Aaditya Shivakumar 11 2 0 23 Nov 2023
Evaluating Neighbor Explainability for Graph Neural Networks Oscar Llorente Rana Fawzy Jared Keown Michal Horemuz Péter Vaderna Sándor Laki Roland Kotroczó Rita Csoma János Márk Szalai-Gindl 14 0 0 14 Nov 2023
On Measuring Faithfulness or Self-consistency of Natural Language Explanations Letitia Parcalabescu Anette Frank LRM 69 20 0 13 Nov 2023
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification Zirui Gong Liyue Shen Yanjun Zhang Leo Yu Zhang Jingwei Wang Guangdong Bai Yong Xiang AAML 26 6 0 13 Nov 2023