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
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution T. Idé Naoki Abe 38 4 0 09 Aug 2023
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition Maan Qraitem Kate Saenko Bryan A. Plummer 45 4 0 08 Aug 2023
Precise Benchmarking of Explainable AI Attribution Methods Rafael Brandt Daan Raatjens G. Gaydadjiev XAI 24 4 0 06 Aug 2023
Evaluating Link Prediction Explanations for Graph Neural Networks Claudio Borile Alan Perotti Andre' Panisson FAtt 38 2 0 03 Aug 2023
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers Alan Perotti Simone Bertolotto Eliana Pastor Andre' Panisson 13 3 0 01 Aug 2023
Saliency strikes back: How filtering out high frequencies improves white-box explanations Sabine Muzellec Thomas Fel Victor Boutin Léo Andéol R. V. Rullen Thomas Serre FAtt 22 0 0 18 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 46 2 0 13 Jul 2023
A large calcium-imaging dataset reveals a systematic V4 organization for natural scenes Tian-Yi Wang Haoxuan Yao T. Lee Jiayi Hong Yang Li Hongfei Jiang I. Andolina Shiming Tang 19 1 0 03 Jul 2023
Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing Ariel N. Lee Sarah Adel Bargal Janavi Kasera Stan Sclaroff Kate Saenko Nataniel Ruiz 33 0 0 30 Jun 2023
Evaluating the overall sensitivity of saliency-based explanation methods Harshinee Sriram Cristina Conati AAML XAI FAtt 19 0 0 21 Jun 2023
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers Moritz D Boehle Navdeeppal Singh Mario Fritz Bernt Schiele 56 27 0 19 Jun 2023
Rosetta Neurons: Mining the Common Units in a Model Zoo Amil Dravid Yossi Gandelsman Alexei A. Efros Assaf Shocher 17 25 0 15 Jun 2023
On the Robustness of Removal-Based Feature Attributions Christy Lin Ian Covert Su-In Lee 22 12 0 12 Jun 2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization Thomas Fel Thibaut Boissin Victor Boutin Agustin Picard Paul Novello ... Drew Linsley Tom Rousseau Rémi Cadène Laurent Gardes Thomas Serre FAtt 16 18 0 11 Jun 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation Thomas Fel Victor Boutin Mazda Moayeri Rémi Cadène Louis Bethune Léo Andéol Mathieu Chalvidal Thomas Serre FAtt 16 49 0 11 Jun 2023
Two-Stage Holistic and Contrastive Explanation of Image Classification Weiyan Xie Xiao-hui Li Zhi Lin Leonard K. M. Poon Caleb Chen Cao N. Zhang 24 2 0 10 Jun 2023
Efficient GNN Explanation via Learning Removal-based Attribution Yao Rong Guanchu Wang Qizhang Feng Ninghao Liu Zirui Liu Enkelejda Kasneci Xia Hu 15 9 0 09 Jun 2023
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions N. Rodis Christos Sardianos Panagiotis I. Radoglou-Grammatikis Panagiotis G. Sarigiannidis Iraklis Varlamis Georgios Th. Papadopoulos 25 22 0 09 Jun 2023
Teaching AI to Teach: Leveraging Limited Human Salience Data Into Unlimited Saliency-Based Training Colton R. Crum Aidan Boyd Kevin W. Bowyer A. Czajka 15 7 0 08 Jun 2023
A Unified Concept-Based System for Local, Global, and Misclassification Explanations Fatemeh Aghaeipoor D. Asgarian Mohammad Sabokrou FAtt 24 0 0 06 Jun 2023
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors Quoc Khanh Nguyen Hung Truong Thanh Nguyen Truong Thanh Hung Nguyen Van Binh Truong Quoc Hung Cao 24 4 0 06 Jun 2023
Towards Better Explanations for Object Detection Van Binh Truong Hung Truong Thanh Nguyen Truong Thanh Hung Nguyen Quoc Khanh Nguyen Quoc Hung Cao 11 9 0 05 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 37 17 0 03 Jun 2023
Discriminative Deep Feature Visualization for Explainable Face Recognition Zewei Xu Yuhang Lu Touradj Ebrahimi FAtt CVBM 15 7 0 01 Jun 2023
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision Chase Walker Sumit Kumar Jha Kenny Chen Rickard Ewetz FAtt 24 9 0 31 May 2023
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition Xiao-lan Wu P. Bell A. Rajan 19 5 0 29 May 2023
Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map Yuguang Yang Runtang Guo Shen-Te Wu Yimi Wang Juan Zhang Xuan Gong Baochang Zhang 19 0 0 27 May 2023
Visualizing data augmentation in deep speaker recognition Pengqi Li Lantian Li A. Hamdulla D. Wang 23 3 0 25 May 2023
An Experimental Investigation into the Evaluation of Explainability Methods Sédrick Stassin A. Englebert Géraldin Nanfack Julien Albert Nassim Versbraegen Gilles Peiffer Miriam Doh Nicolas Riche Benoit Frénay Christophe De Vleeschouwer XAI ELM 16 5 0 25 May 2023
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc FAtt 18 3 0 24 May 2023
Towards credible visual model interpretation with path attribution Naveed Akhtar Muhammad A. A. K. Jalwana FAtt 22 5 0 23 May 2023
What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media Junwei Kuang Jiaheng Xie Zhijun Yan 27 1 0 18 May 2023
Explain Any Concept: Segment Anything Meets Concept-Based Explanation Ao Sun Pingchuan Ma Yuanyuan Yuan Shuai Wang LLMAG 23 31 0 17 May 2023
Causal Analysis for Robust Interpretability of Neural Networks Ola Ahmad Nicolas Béreux Loïc Baret V. Hashemi Freddy Lecue CML 21 3 0 15 May 2023
Towards Visual Saliency Explanations of Face Verification Yuhang Lu Zewei Xu Touradj Ebrahimi FAtt XAI CVBM 14 10 0 15 May 2023
AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal Changsuk Oh D. Shim H. J. Kim AAML 22 0 0 13 May 2023
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models Guoyang Liu Jindi Zhang Antoni B. Chan J. H. Hsiao 24 14 0 05 May 2023
Interpreting Vision and Language Generative Models with Semantic Visual Priors Michele Cafagna L. Rojas-Barahona Kees van Deemter Albert Gatt FAtt VLM 17 1 0 28 Apr 2023
Categorical Foundations of Explainable AI: A Unifying Theory Pietro Barbiero S. Fioravanti Francesco Giannini Alberto Tonda Pietro Lio' Elena Di Lavore XAI 21 2 0 27 Apr 2023
Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection Marco Huber Meiling Fang Fadi Boutros Naser Damer FaML CVBM 24 9 0 26 Apr 2023
Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation Marco Huber An Luu Philipp Terhörst Naser Damer CVBM AAML 30 14 0 26 Apr 2023
Learning Bottleneck Concepts in Image Classification Bowen Wang Liangzhi Li Yuta Nakashima Hajime Nagahara SSL 20 42 0 20 Apr 2023
Explanations of Black-Box Models based on Directional Feature Interactions A. Masoomi Davin Hill Zhonghui Xu C. Hersh E. Silverman P. Castaldi Stratis Ioannidis Jennifer Dy FAtt 29 17 0 16 Apr 2023
VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking A. Nalmpantis Apostolos Panagiotopoulos John Gkountouras Konstantinos Papakostas Wilker Aziz 15 4 0 13 Apr 2023
ODAM: Gradient-based instance-specific visual explanations for object detection Chenyang Zhao Antoni B. Chan FAtt 19 8 0 13 Apr 2023
Explanation of Face Recognition via Saliency Maps Yuhang Lu Touradj Ebrahimi XAI CVBM 13 3 0 12 Apr 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning Hanjing Wang D. Joshi Shiqiang Wang Q. Ji UQCV BDL 16 6 0 10 Apr 2023
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI Ruoxi Qi Yueyuan Zheng Yi Yang Caleb Chen Cao J. H. Hsiao 25 5 0 10 Apr 2023
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models Osman Tursun Simon Denman S. Sridharan Clinton Fookes ViT VLM 16 6 0 05 Apr 2023
Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust Md Abdul Kadir Fabrizio Nunnari Daniel Sonntag FAtt 11 1 0 03 Apr 2023