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
SESS: Saliency Enhancing with Scaling and Sliding Osman Tursun Simon Denman Sridha Sridharan Clinton Fookes 11 5 0 05 Jul 2022
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques Yannik Mahlau Christian Nolde FAtt 40 0 0 04 Jul 2022
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions Zulqarnain Khan Davin Hill A. Masoomi Joshua Bone Jennifer Dy AAML 41 3 0 24 Jun 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 11 0 0 22 Jun 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 29 141 0 22 Jun 2022
Visualizing and Understanding Contrastive Learning Fawaz Sammani Boris Joukovsky Nikos Deligiannis SSL FAtt 20 9 0 20 Jun 2022
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs Hui Li Zihao Li Rui Ma Tieru Wu FAtt 36 8 0 17 Jun 2022
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features V. V. Ramaswamy Sunnie S. Y. Kim Nicole Meister Ruth C. Fong Olga Russakovsky FAtt 29 14 0 15 Jun 2022
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective M. Serrurier Franck Mamalet Thomas Fel Louis Bethune Thibaut Boissin AAML FAtt 32 4 0 14 Jun 2022
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure Paul Novello Thomas Fel David Vigouroux FAtt 19 28 0 13 Jun 2022
Learning to Estimate Shapley Values with Vision Transformers Ian Covert Chanwoo Kim Su-In Lee FAtt 25 35 0 10 Jun 2022
Xplique: A Deep Learning Explainability Toolbox Thomas Fel Lucas Hervier David Vigouroux Antonin Poché Justin Plakoo ... Agustin Picard C. Nicodeme Laurent Gardes G. Flandin Thomas Serre 24 30 0 09 Jun 2022
Spatial-temporal Concept based Explanation of 3D ConvNets Yi Ji Yu Wang K. Mori Jien Kato 3DPC FAtt 29 7 0 09 Jun 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification Youngwook Kim Jae Myung Kim Zeynep Akata Jungwook Lee NoLa 34 47 0 08 Jun 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey İbrahim Kök Feyza Yıldırım Okay Özgecan Muyanlı S. Özdemir XAI 35 51 0 07 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods Angie Boggust Harini Suresh Hendrik Strobelt John Guttag Arvindmani Satyanarayan FAtt XAI 30 8 0 07 Jun 2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations Tessa Han Suraj Srinivas Himabindu Lakkaraju FAtt 50 86 0 02 Jun 2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition Yue Song N. Sebe Wei Wang 38 33 0 26 May 2022
How explainable are adversarially-robust CNNs? Mehdi Nourelahi Lars Kotthoff Peijie Chen Anh Totti Nguyen AAML FAtt 24 8 0 25 May 2022
Deletion and Insertion Tests in Regression Models Naofumi Hama Masayoshi Mase Art B. Owen 27 8 0 25 May 2022
An interpretation of the final fully connected layer Siddhartha 35 0 0 24 May 2022
Faithful Explanations for Deep Graph Models Zifan Wang Yuhang Yao Chaoran Zhang Han Zhang Youjie Kang Carlee Joe-Wong Matt Fredrikson Anupam Datta FAtt 24 2 0 24 May 2022
What You See is What You Classify: Black Box Attributions Steven Stalder Nathanael Perraudin R. Achanta Fernando Perez-Cruz Michele Volpi FAtt 34 9 0 23 May 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 25 2 0 22 May 2022
Towards Better Understanding Attribution Methods Sukrut Rao Moritz Bohle Bernt Schiele XAI 26 32 0 20 May 2022
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 48 85 0 20 May 2022
The Solvability of Interpretability Evaluation Metrics Yilun Zhou J. Shah 78 8 0 18 May 2022
A Psychological Theory of Explainability Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto XAI FAtt 61 16 0 17 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aïvodji Stephen H. Bach Himabindu Lakkaraju 53 57 0 15 May 2022
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study T. Gomez Thomas Fréour Harold Mouchère 27 3 0 13 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 24 53 0 10 May 2022
Poly-CAM: High resolution class activation map for convolutional neural networks A. Englebert O. Cornu Christophe De Vleeschouwer 27 10 0 28 Apr 2022
Perception Visualization: Seeing Through the Eyes of a DNN Loris Giulivi Mark J. Carman Giacomo Boracchi 18 6 0 21 Apr 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 27 3 0 17 Apr 2022
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data David Schinagl Georg Krispel Horst Possegger P. Roth Horst Bischof 3DPC 34 16 0 13 Apr 2022
Maximum Entropy Baseline for Integrated Gradients Hanxiao Tan FAtt 24 4 0 12 Apr 2022
Reliable Visualization for Deep Speaker Recognition Pengqi Li Lantian Li A. Hamdulla Dong Wang HAI 40 9 0 08 Apr 2022
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations Leonard Salewski A. Sophia Koepke Hendrik P. A. Lensch Zeynep Akata LRM NAI 33 20 0 05 Apr 2022
Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems Hazem M. Fahmy F. Pastore Lionel C. Briand Thomas Stifter AAML 23 15 0 01 Apr 2022
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 35 55 0 29 Mar 2022
Cycle-Consistent Counterfactuals by Latent Transformations Saeed Khorram Li Fuxin BDL 24 32 0 28 Mar 2022
A Unified Study of Machine Learning Explanation Evaluation Metrics Yipei Wang Xiaoqian Wang XAI 19 7 0 27 Mar 2022
HINT: Hierarchical Neuron Concept Explainer Andong Wang Wei-Ning Lee Xiaojuan Qi 17 19 0 27 Mar 2022
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals Simon Vandenhende D. Mahajan Filip Radenovic Deepti Ghadiyaram 27 30 0 24 Mar 2022
Explaining Classifiers by Constructing Familiar Concepts Johannes Schneider M. Vlachos 29 15 0 07 Mar 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 42 26 0 25 Feb 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions Daniel Lundstrom Tianjian Huang Meisam Razaviyayn FAtt 30 64 0 24 Feb 2022
First is Better Than Last for Language Data Influence Chih-Kuan Yeh Ankur Taly Mukund Sundararajan Frederick Liu Pradeep Ravikumar TDI 34 20 0 24 Feb 2022
Explanatory Paradigms in Neural Networks Ghassan AlRegib Mohit Prabhushankar FAtt XAI 19 12 0 24 Feb 2022
Evaluating Feature Attribution Methods in the Image Domain Arne Gevaert Axel-Jan Rousseau Thijs Becker D. Valkenborg T. D. Bie Yvan Saeys FAtt 27 22 0 22 Feb 2022