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
Verifying Machine Unlearning with Explainable AI Àlex Pujol Vidal A. S. Johansen M. N. Jahromi Sergio Escalera Kamal Nasrollahi T. Moeslund MU 64 1 0 20 Nov 2024
Local vs distributed representations: What is the right basis for interpretability? Julien Colin L. Goetschalckx Thomas Fel Victor Boutin Jay Gopal Thomas Serre Nuria Oliver HAI 34 2 0 06 Nov 2024
Explanations that reveal all through the definition of encoding A. Puli Nhi Nguyen Rajesh Ranganath FAtt XAI 36 1 0 04 Nov 2024
Benchmarking XAI Explanations with Human-Aligned Evaluations Rémi Kazmierczak Steve Azzolin Eloise Berthier Anna Hedström Patricia Delhomme ... Goran Frehse Massimiliano Mancini Baptiste Caramiaux Andrea Passerini Gianni Franchi 23 1 0 04 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation Dennis Fucci Marco Gaido Beatrice Savoldi Matteo Negri Mauro Cettolo L. Bentivogli 54 1 0 03 Nov 2024
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications Alain Andres Aitor Martinez-Seras I. Laña Javier Del Ser AAML 35 1 0 28 Oct 2024
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency Aidan Boyd M. Trabelsi H. Uzunalioglu Dan Kushnir FAtt 26 0 0 21 Oct 2024
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency" Luan Fletcher Robert van der Klis Martin Sedláček Stefan Vasilev Christos Athanasiadis 27 1 0 17 Oct 2024
Bilinear MLPs enable weight-based mechanistic interpretability Michael T. Pearce Thomas Dooms Alice Rigg José Oramas Lee Sharkey 21 4 0 10 Oct 2024
Audio Explanation Synthesis with Generative Foundation Models Alican Akman Qiyang Sun Björn W. Schuller 20 1 0 10 Oct 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 42 0 0 10 Oct 2024
Riemann Sum Optimization for Accurate Integrated Gradients Computation Swadesh Swain Shree Singhi 23 0 0 05 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 25 3 0 03 Oct 2024
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng Farhad Shirani Zhuomin Chen Chaohao Lin Wei Cheng Wenbo Guo Dongsheng Luo AAML 28 0 0 03 Oct 2024
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations Nick Jiang Anish Kachinthaya Suzie Petryk Yossi Gandelsman VLM 34 14 0 03 Oct 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 25 0 0 02 Oct 2024
Interactive Explainable Anomaly Detection for Industrial Settings Daniel Gramelt Timon Höfer Ute Schmid AAML HAI 26 1 0 01 Oct 2024
PCEvE: Part Contribution Evaluation Based Model Explanation for Human Figure Drawing Assessment and Beyond Jongseo Lee Geo Ahn Seong Tae Kim Jinwoo Choi 36 0 0 26 Sep 2024
The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach David Bertoin Eduardo Hugo Sanchez Mehdi Zouitine Emmanuel Rachelson 34 0 0 25 Sep 2024
Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation Harry Rogers Tahmina Zebin Grzegorz Cielniak Beatriz De La Iglesia Ben Magri 21 0 0 24 Sep 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation Yingying Hua Shiming Ge Daichi Zhang FAtt 22 0 0 20 Sep 2024
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach Debarpan Bhattacharya A. H. Poorjam Deepak Mittal S. Ganapathy 27 0 0 17 Sep 2024
Optimal ablation for interpretability Maximilian Li Lucas Janson FAtt 47 2 0 16 Sep 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 56 0 0 16 Sep 2024
Integrated Multi-Level Knowledge Distillation for Enhanced Speaker Verification Wenhao Yang Jianguo Wei Wenhuan Lu Xugang Lu Lei Li 28 0 0 14 Sep 2024
Data Augmentation for Image Classification using Generative AI Fazle Rahat M Shifat Hossain Md Rubel Ahmed Sumit Kumar Jha Rickard Ewetz VLM 49 4 0 31 Aug 2024
Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks Xuran Hu Mingzhe Zhu Zhenpeng Feng Miloš Daković Ljubiša Stanković 15 0 0 23 Aug 2024
LCE: A Framework for Explainability of DNNs for Ultrasound Image Based on Concept Discovery Weiji Kong Xun Gong Juan Wang 21 1 0 19 Aug 2024
An Explainable Non-local Network for COVID-19 Diagnosis Jingfu Yang Peng Huang Jing Hu Shu Hu Siwei Lyu Xin Wang Jun Guo Xi Wu 34 1 0 08 Aug 2024
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks Mahadev Prasad Panda Matteo Tiezzi Martina Vilas Gemma Roig Bjoern M. Eskofier Dario Zanca ViT AAML 39 1 0 04 Aug 2024
Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc 35 0 0 31 Jul 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach Adam Wojciechowski Mateusz Lango Ondrej Dusek FAtt 41 0 0 30 Jul 2024
Mean Opinion Score as a New Metric for User-Evaluation of XAI Methods Hyeon Yu Jenny Benois-Pineau Romain Bourqui R. Giot Alexey Zhukov 28 0 0 29 Jul 2024
On the Evaluation Consistency of Attribution-based Explanations Jiarui Duan Haoling Li Haofei Zhang Hao Jiang Mengqi Xue Li Sun Mingli Song Jie Song XAI 46 0 0 28 Jul 2024
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 45 3 0 27 Jul 2024
Dissecting Multiplication in Transformers: Insights into LLMs Luyu Qiu Jianing Li Chi Su C. Zhang Lei Chen 32 3 0 22 Jul 2024
Mechanistically Interpreting a Transformer-based 2-SAT Solver: An Axiomatic Approach Nils Palumbo Ravi Mangal Zifan Wang Saranya Vijayakumar Corina S. Pasareanu Somesh Jha 41 1 0 18 Jul 2024
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI Qi Huang Emanuele Mezzi Osman Mutlu Miltiadis Kofinas Vidya Prasad Shadnan Azwad Khan Elena Ranguelova N. V. Stein 45 0 0 17 Jul 2024
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps Junseo Park Hyeryung Jang 75 0 0 17 Jul 2024
Beyond Spatial Explanations: Explainable Face Recognition in the Frequency Domain Marco Huber Naser Damer CVBM 30 1 0 16 Jul 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 34 3 0 16 Jul 2024
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach Truong Thanh Hung Nguyen Phuc Truong Loc Nguyen Hung Cao 24 2 0 16 Jul 2024
Layer-Wise Relevance Propagation with Conservation Property for ResNet Seitaro Otsuki T. Iida Félix Doublet Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Komei Sugiura FAtt 48 4 0 12 Jul 2024
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Louis Bethune Andrew Kyle Lampinen Thomas Serre Katherine Hermann FAtt CoGe 32 6 0 08 Jul 2024
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems Yuhang Lu Zewei Xu Touradj Ebrahimi CVBM FAtt XAI 44 3 0 08 Jul 2024
Explainable Image Recognition via Enhanced Slot-attention Based Classifier Bowen Wang Liangzhi Li Jiahao Zhang Yuta Nakashima Hajime Nagahara OCL 44 0 0 08 Jul 2024
SLIM: Spuriousness Mitigation with Minimal Human Annotations Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Kwan-Liu Ma 42 2 0 08 Jul 2024
Explainable AI: Comparative Analysis of Normal and Dilated ResNet Models for Fundus Disease Classification P. N. Karthikayan Yoga Sri Varshan V Hitesh Gupta Kattamuri Umarani Jayaraman MedIm 21 2 0 07 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Saeed Mian AAML 31 1 0 05 Jul 2024
Integrated feature analysis for deep learning interpretation and class activation maps Yanli Li Tahereh Hassanzadeh D. Shamonin Monique Reijnierse A. H. V. D. H. Mil B. Stoel 38 0 0 01 Jul 2024