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
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 35 18 0 27 Nov 2022
Explaining Image Classifiers with Multiscale Directional Image Representation Stefan Kolek Robert Windesheim Héctor Andrade-Loarca Gitta Kutyniok Ron Levie 29 4 0 22 Nov 2022
CRAFT: Concept Recursive Activation FacTorization for Explainability Thomas Fel Agustin Picard Louis Bethune Thibaut Boissin David Vigouroux Julien Colin Rémi Cadène Thomas Serre 19 103 0 17 Nov 2022
Model free variable importance for high dimensional data Naofumi Hama Masayoshi Mase Art B. Owen 29 1 0 15 Nov 2022
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning Misgina Tsighe Hagos Kathleen M. Curran Brian Mac Namee 26 10 0 15 Nov 2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier Yiheng Zhang Ting Yao Zhaofan Qiu Tao Mei OOD 37 3 0 15 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Mingli Song XAI 33 1 0 12 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 41 18 0 10 Nov 2022
Generative Adversarial Networks for Weakly Supervised Generation and Evaluation of Brain Tumor Segmentations on MR Images Jayeon Yoo Khashayar Namdar Matthias W. Wagner L. Nobre U. Tabori C. Hawkins B. Ertl-Wagner Farzad Khalvati GAN MedIm 21 0 0 10 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 34 4 0 09 Nov 2022
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review Talha Azfar Jinlong Li Hongkai Yu R. Cheu Yisheng Lv Ruimin Ke 38 21 0 09 Nov 2022
ViT-CX: Causal Explanation of Vision Transformers Weiyan Xie Xiao-hui Li Caleb Chen Cao Nevin L.Zhang ViT 37 17 0 06 Nov 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound Arushi Gupta Nikunj Saunshi Dingli Yu Kaifeng Lyu Sanjeev Arora AAML FAtt XAI 31 5 0 05 Nov 2022
Exploring Explainability Methods for Graph Neural Networks Harsh Patel Shivam Sahni 14 0 0 03 Nov 2022
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models Atsushi Kikuchi Kotaro Uchida Masaki Waga Kohei Suenaga FAtt 26 1 0 31 Oct 2022
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability Qinglai Wei Diancheng Chen Beiming Yuan 32 10 0 26 Oct 2022
PlanT: Explainable Planning Transformers via Object-Level Representations Katrin Renz Kashyap Chitta Otniel-Bogdan Mercea A. Sophia Koepke Zeynep Akata Andreas Geiger ViT 38 94 0 25 Oct 2022
ATCON: Attention Consistency for Vision Models Ali Mirzazadeh Florian Dubost M. Pike Krish Maniar Max Zuo Christopher Lee-Messer D. Rubin 13 1 0 18 Oct 2022
Class-Specific Explainability for Deep Time Series Classifiers Ramesh Doddaiah Prathyush S. Parvatharaju Elke A. Rundensteiner Thomas Hartvigsen FAtt AI4TS 37 4 0 11 Oct 2022
Improving Data-Efficient Fossil Segmentation via Model Editing Indu Panigrahi Ryan Manzuk A. Maloof Ruth C. Fong 35 1 0 08 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors Federico Baldassarre Quentin Debard Gonzalo Fiz Pontiveros Tri Kurniawan Wijaya 44 4 0 07 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 43 108 0 02 Oct 2022
Contrastive Corpus Attribution for Explaining Representations Christy Lin Hugh Chen Chanwoo Kim Su-In Lee SSL 27 8 0 30 Sep 2022
Evaluation of importance estimators in deep learning classifiers for Computed Tomography L. Brocki Wistan Marchadour Jonas Maison B. Badic P. Papadimitroulas M. Hatt Franck Vermet N. C. Chung 27 4 0 30 Sep 2022
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks Rakshith Sathish S. Khare Debdoot Sheet 42 4 0 30 Sep 2022
Recipro-CAM: Fast gradient-free visual explanations for convolutional neural networks Seokhyun Byun Won-Jo Lee FAtt 39 4 0 28 Sep 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions Yongchan Kwon James Zou TDI FAtt 29 33 0 27 Sep 2022
Ablation Path Saliency Justus Sagemüller Olivier Verdier FAtt AAML 21 0 0 26 Sep 2022
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism Ioanna Gkartzonika Nikolaos Gkalelis Vasileios Mezaris 36 9 0 22 Sep 2022
Deep Superpixel Generation and Clustering for Weakly Supervised Segmentation of Brain Tumors in MR Images Jayeon Yoo Khashayar Namdar Farzad Khalvati 21 2 0 20 Sep 2022
A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models S. Karatsiolis A. Kamilaris FAtt 34 1 0 19 Sep 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning David Bertoin Adil Zouitine Mehdi Zouitine Emmanuel Rachelson 40 30 0 16 Sep 2022
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution Yuyou Gan Yuhao Mao Xuhong Zhang S. Ji Yuwen Pu Meng Han Jianwei Yin Ting Wang FAtt AAML 12 15 0 05 Sep 2022
Generating detailed saliency maps using model-agnostic methods Maciej Sakowicz FAtt 23 0 0 04 Sep 2022
Concept Gradient: Concept-based Interpretation Without Linear Assumption Andrew Bai Chih-Kuan Yeh Pradeep Ravikumar Neil Y. C. Lin Cho-Jui Hsieh 30 15 0 31 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 43 12 0 19 Aug 2022
Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch Yuya Maruyama Hiroshi Fukui Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi K. Sugiura 31 1 0 18 Aug 2022
The Weighting Game: Evaluating Quality of Explainability Methods Lassi Raatikainen Esa Rahtu FAtt XAI 34 4 0 12 Aug 2022
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value Quan Zheng Ziwei Wang Jie Zhou Jiwen Lu FAtt 33 31 0 07 Aug 2022
Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations Jawad Tayyub M. Sarmad Nicolas Schonborn 3DPC FAtt 6 5 0 26 Jul 2022
Adaptive occlusion sensitivity analysis for visually explaining video recognition networks Tomoki Uchiyama Naoya Sogi S. Iizuka Koichiro Niinuma Kazuhiro Fukui 24 2 0 26 Jul 2022
Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability V. V. Ramaswamy Sunnie S. Y. Kim Ruth C. Fong Olga Russakovsky FAtt 37 28 0 20 Jul 2022
MDM: Multiple Dynamic Masks for Visual Explanation of Neural Networks Yitao Peng Longzhen Yang Yihang Liu Lianghua He 19 0 0 17 Jul 2022
Anomalous behaviour in loss-gradient based interpretability methods Vinod Subramanian Francesco Ferroni Emmanouil Benetos Mark Sandler 13 0 0 15 Jul 2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Jesse Ables William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale AAML 56 71 0 13 Jul 2022
Rethinking gradient weights' influence over saliency map estimation Masud An Nur Islam Fahim Nazmus Saqib Shafkat Khan Siam H. Jung FAtt 24 1 0 12 Jul 2022
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images Kristoffer Wickstrøm Eirik Agnalt Ostmo Keyur Radiya Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen SSL 37 13 0 11 Jul 2022
Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks Chunyan Zeng Kang Yan Zhifeng Wang Yan Yu Shiyan Xia Nan Zhao FAtt 11 39 0 08 Jul 2022
Calibrate to Interpret Gregory Scafarto N. Posocco Antoine Bonnefoy FaML 16 3 0 07 Jul 2022
An Additive Instance-Wise Approach to Multi-class Model Interpretation Vy Vo Van Nguyen Trung Le Quan Hung Tran Gholamreza Haffari S. Çamtepe Dinh Q. Phung FAtt 48 5 0 07 Jul 2022