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
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 46 3 0 26 Jun 2024
Large Language Models are Interpretable Learners Ruochen Wang Si Si Felix X. Yu Dorothea Wiesmann Cho-Jui Hsieh Inderjit Dhillon 24 3 0 25 Jun 2024
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation Yingying Fang Shuang Wu Zihao Jin Caiwen Xu Shiyi Wang Simon Walsh Guang Yang MedIm 34 4 0 21 Jun 2024
MiSuRe is all you need to explain your image segmentation Syed Nouman Hasany Fabrice Mériaudeau Caroline Petitjean 28 2 0 18 Jun 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers Lokesh Badisa Sumohana S. Channappayya 42 0 0 17 Jun 2024
Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis Prithwijit Chowdhury M. Prabhushankar Ghassan AlRegib Mohamed Deriche 33 0 0 12 Jun 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 46 2 0 11 Jun 2024
Explaining Representation Learning with Perceptual Components Yavuz Yarici Kiran Kokilepersaud M. Prabhushankar Ghassan AlRegib SSL FAtt 26 0 0 11 Jun 2024
Understanding Inhibition Through Maximally Tense Images Chris Hamblin Srijani Saha Talia Konkle George Alvarez FAtt 32 0 0 08 Jun 2024
Leveraging Activations for Superpixel Explanations Ahcène Boubekki Samuel G. Fadel Sebastian Mair AAML FAtt XAI 29 0 0 07 Jun 2024
Tensor Polynomial Additive Model Yang Chen Ce Zhu Jiani Liu Yipeng Liu TPM 25 0 0 05 Jun 2024
Expected Grad-CAM: Towards gradient faithfulness Vincenzo Buono Peyman Sheikholharam Mashhadi M. Rahat Prayag Tiwari Stefan Byttner FAtt 31 1 0 03 Jun 2024
How Video Meetings Change Your Expression Sumit Sarin Utkarsh Mall Purva Tendulkar Carl Vondrick CVBM 32 0 0 03 Jun 2024
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability M. Prabhushankar Ghassan AlRegib FAtt UQCV 29 2 0 01 Jun 2024
Listenable Maps for Zero-Shot Audio Classifiers Francesco Paissan Luca Della Libera Mirco Ravanelli Cem Subakan 32 4 0 27 May 2024
SE3D: A Framework For Saliency Method Evaluation In 3D Imaging Mariusz Wi'sniewski Loris Giulivi Giacomo Boracchi 29 1 0 23 May 2024
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet Loris Giulivi Giacomo Boracchi 21 2 0 23 May 2024
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property Yuya Yoshikawa Masanari Kimura Ryotaro Shimizu Yuki Saito FAtt 27 0 0 23 May 2024
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization Yitao Peng Lianghua He D. Hu FAtt 51 0 0 23 May 2024
Part-based Quantitative Analysis for Heatmaps Osman Tursun Sinan Kalkan Simon Denman S. Sridharan Clinton Fookes 35 0 0 22 May 2024
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors Shuai Liu Boyang Li Zhiyu Fang Mingyue Cui Kai Huang 40 0 0 21 May 2024
Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model Mounes Zaval Sedat Ozer LRM 24 0 0 20 May 2024
Explainable Facial Expression Recognition for People with Intellectual Disabilities Silvia Ramis Guarinos Cristina Manresa Yee Jose Maria Buades Rubio F. X. Gaya-Morey CVBM 24 3 0 19 May 2024
Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features Yao Rong David Scheerer Enkelejda Kasneci 45 0 0 16 May 2024
Parallel Backpropagation for Shared-Feature Visualization Alexander Lappe Anna Bognár Ghazaleh Ghamkhari Nejad A. Mukovskiy Lucas M. Martini Martin A. Giese Rufin Vogels FAtt 18 0 0 16 May 2024
To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems Miquel Miró-Nicolau Gabriel Moyà Alcover Antoni Jaume-i-Capó Manuel González Hidalgo Maria Gemma Sempere Campello Juan Antonio Palmer Sancho 21 0 0 09 May 2024
Explainable Interface for Human-Autonomy Teaming: A Survey Xiangqi Kong Yang Xing Antonios Tsourdos Ziyue Wang Weisi Guo Adolfo Perrusquía Andreas Wikander 37 3 0 04 May 2024
Explaining models relating objects and privacy Alessio Xompero Myriam Bontonou J. Arbona Emmanouil Benetos Andrea Cavallaro 25 1 0 02 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 61 5 0 02 May 2024
Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of Attribution Methods Peiyu Yang Naveed Akhtar Jiantong Jiang Ajmal Saeed Mian XAI 32 2 0 02 May 2024
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs Soham Mitra Atri Sukul S. K. Roy Pravendra Singh Vinay K. Verma AAML FAtt 38 0 0 30 Apr 2024
Statistics and explainability: a fruitful alliance Valentina Ghidini 19 0 0 30 Apr 2024
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment Hanxiao Tan 37 1 0 29 Apr 2024
Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection K. Tsigos Evlampios Apostolidis Spyridon Baxevanakis Symeon Papadopoulos Vasileios Mezaris AAML 41 7 0 29 Apr 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 56 2 0 25 Apr 2024
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency Jun Huang Yan Liu FAtt 47 0 0 23 Apr 2024
A Learning Paradigm for Interpretable Gradients Felipe Figueroa Hanwei Zhang R. Sicre Yannis Avrithis Stéphane Ayache FAtt 18 0 0 23 Apr 2024
CA-Stream: Attention-based pooling for interpretable image recognition Felipe Torres Hanwei Zhang R. Sicre Stéphane Ayache Yannis Avrithis 50 0 0 23 Apr 2024
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer Quoc Khanh Nguyen Truong Thanh Hung Nguyen V. Nguyen Van Binh Truong Tuong Phan Hung Cao 21 6 0 20 Apr 2024
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images Dmytro Shvetsov Joonas Ariva M. Domnich Raul Vicente Dmytro Fishman MedIm 32 0 0 19 Apr 2024
Toward Understanding the Disagreement Problem in Neural Network Feature Attribution Niklas Koenen Marvin N. Wright FAtt 39 5 0 17 Apr 2024
Evolving Interpretable Visual Classifiers with Large Language Models Mia Chiquier Utkarsh Mall Carl Vondrick VLM 30 10 0 15 Apr 2024
Observation-specific explanations through scattered data approximation Valentina Ghidini Michael Multerer Jacopo Quizi Rohan Sen FAtt 16 1 0 12 Apr 2024
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity Walid Bousselham Angie Boggust Sofian Chaybouti Hendrik Strobelt Hilde Kuehne 93 10 0 04 Apr 2024
Accurate estimation of feature importance faithfulness for tree models Mateusz Gajewski Adam Karczmarz Mateusz Rapicki Piotr Sankowski 37 0 0 04 Apr 2024
Smooth Deep Saliency Rudolf Herdt Maximilian Schmidt Daniel Otero Baguer Peter Maass MedIm FAtt 18 0 0 02 Apr 2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks Mihir Mulye Matias Valdenegro-Toro UQCV FAtt 33 0 0 25 Mar 2024
Forward Learning for Gradient-based Black-box Saliency Map Generation Zeliang Zhang Mingqian Feng Jinyang Jiang Rongyi Zhu Yijie Peng Chenliang Xu FAtt 32 2 0 22 Mar 2024
Listenable Maps for Audio Classifiers Francesco Paissan Mirco Ravanelli Cem Subakan 30 7 0 19 Mar 2024
XPose: eXplainable Human Pose Estimation Luyu Qiu Jianing Li Lei Wen Chi Su Fei Hao C. Zhang Lei Chen 30 0 0 19 Mar 2024