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
Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiers Naveed Akhtar M. Jalwana FAtt AAML 19 7 0 31 Mar 2023
Model-agnostic explainable artificial intelligence for object detection in image data M. Moradi Ke Yan David Colwell Matthias Samwald Rhona Asgari AAML 41 7 0 30 Mar 2023
Are Data-driven Explanations Robust against Out-of-distribution Data? Tang Li Fengchun Qiao Mengmeng Ma Xiangkai Peng OODD OOD 33 10 0 29 Mar 2023
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs V. V. Ramaswamy Sunnie S. Y. Kim Ruth C. Fong Olga Russakovsky 35 0 0 27 Mar 2023
Explainable Image Quality Assessment for Medical Imaging Caner Ozer Arda Güler A. Cansever Ilkay Oksuz 29 2 0 25 Mar 2023
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients Ruo Yang Binghui Wang M. Bilgic 37 19 0 24 Mar 2023
Better Understanding Differences in Attribution Methods via Systematic Evaluations Sukrut Rao Moritz D Boehle Bernt Schiele XAI 29 2 0 21 Mar 2023
Leaping Into Memories: Space-Time Deep Feature Synthesis Alexandros Stergiou Nikos Deligiannis 34 0 0 17 Mar 2023
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection Chia-Yu Hsu Wenwen Li AAML FAtt 19 34 0 16 Mar 2023
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations Changqing Qiu Fusheng Jin Yining Zhang FAtt 22 2 0 16 Mar 2023
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models Ian E. Nielsen Ravichandran Ramachandran N. Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool AAML FAtt 41 7 0 15 Mar 2023
Towards Trust of Explainable AI in Thyroid Nodule Diagnosis Hung Truong Thanh Nguyen Van Binh Truong V. Nguyen Quoc Hung Cao Quoc Khanh Nguyen 14 13 0 08 Mar 2023
CoRTX: Contrastive Framework for Real-time Explanation Yu-Neng Chuang Guanchu Wang Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Xia Hu 46 20 0 05 Mar 2023
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators in Neural Networks L. Brocki N. C. Chung FAtt AAML 51 11 0 02 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 54 38 0 01 Mar 2023
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Z. Kong Kwan-Liu Ma AAML FAtt 37 2 0 01 Mar 2023
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation N. Jethani A. Saporta Rajesh Ranganath FAtt 29 11 0 24 Feb 2023
The Generalizability of Explanations Hanxiao Tan FAtt 18 1 0 23 Feb 2023
On The Coherence of Quantitative Evaluation of Visual Explanations Benjamin Vandersmissen José Oramas XAI FAtt 36 3 0 14 Feb 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 22 0 0 11 Feb 2023
A novel approach to generate datasets with XAI ground truth to evaluate image models Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 22 4 0 11 Feb 2023
PAMI: partition input and aggregate outputs for model interpretation Wei Shi Wentao Zhang Weishi Zheng Ruixuan Wang FAtt 26 3 0 07 Feb 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Xia Hu 24 32 0 07 Feb 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks Brandon B. May N. Joseph Tatro Dylan Walker Piyush Kumar N. Shnidman DiffM 33 7 0 31 Jan 2023
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches M. Attaoui Hazem M. Fahmy F. Pastore Lionel C. Briand AI4CE 21 4 0 31 Jan 2023
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics Naveed Akhtar XAI VLM 35 7 0 31 Jan 2023
Distilling Cognitive Backdoor Patterns within an Image Hanxun Huang Xingjun Ma S. Erfani James Bailey AAML 34 24 0 26 Jan 2023
Holistically Explainable Vision Transformers Moritz D Boehle Mario Fritz Bernt Schiele ViT 41 9 0 20 Jan 2023
Sanity checks and improvements for patch visualisation in prototype-based image classification Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 10 3 0 20 Jan 2023
TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks Mariano V. Ntrougkas Nikolaos Gkalelis Vasileios Mezaris FAtt 19 8 0 18 Jan 2023
Opti-CAM: Optimizing saliency maps for interpretability Hanwei Zhang Felipe Torres R. Sicre Yannis Avrithis Stéphane Ayache 41 22 0 17 Jan 2023
Negative Flux Aggregation to Estimate Feature Attributions X. Li Deng Pan Chengyin Li Yao Qiang D. Zhu FAtt 8 6 0 17 Jan 2023
CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation Yiming Lei Zilong Li Yangyang Li Junping Zhang Hongming Shan 28 3 0 15 Jan 2023
Rationalizing Predictions by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 27 4 0 15 Jan 2023
Hierarchical Dynamic Masks for Visual Explanation of Neural Networks Yitao Peng Longzhen Yang Yihang Liu Lianghua He FAtt 16 3 0 12 Jan 2023
Learning Support and Trivial Prototypes for Interpretable Image Classification Chong Wang Yuyuan Liu Yuanhong Chen Fengbei Liu Yu Tian Davis J. McCarthy Helen Frazer G. Carneiro 39 24 0 08 Jan 2023
Explaining Imitation Learning through Frames Boyuan Zheng Jianlong Zhou Chun-Hao Liu Yiqiao Li Fang Chen 14 0 0 03 Jan 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 50 18 0 30 Dec 2022
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 29 68 0 25 Dec 2022
Security and Interpretability in Automotive Systems Shailja Thakur AAML 21 0 0 23 Dec 2022
Impossibility Theorems for Feature Attribution Blair Bilodeau Natasha Jaques Pang Wei Koh Been Kim FAtt 20 68 0 22 Dec 2022
DExT: Detector Explanation Toolkit Deepan Padmanabhan Paul G. Plöger Octavio Arriaga Matias Valdenegro-Toro 38 2 0 21 Dec 2022
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu AAML 25 7 0 18 Dec 2022
MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks Letitia Parcalabescu Anette Frank 37 22 0 15 Dec 2022
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods Ming-Xiu Jiang Saeed Khorram Li Fuxin FAtt 27 9 0 13 Dec 2022
Ensuring Visual Commonsense Morality for Text-to-Image Generation Seong-Oak Park Suhong Moon Jinkyu Kim 16 2 0 07 Dec 2022
Evaluation of Explanation Methods of AI -- CNNs in Image Classification Tasks with Reference-based and No-reference Metrics A. Zhukov J. Benois-Pineau R. Giot 22 5 0 02 Dec 2022
Towards More Robust Interpretation via Local Gradient Alignment Sunghwan Joo Seokhyeon Jeong Juyeon Heo Adrian Weller Taesup Moon FAtt 33 5 0 29 Nov 2022
Interactive Visual Feature Search Devon Ulrich Ruth C. Fong FAtt 29 0 0 28 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 35 18 0 27 Nov 2022