"Why Should I Trust You?": Explaining the Predictions of Any Classifier

16 February 2016

Papers citing ""Why Should I Trust You?": Explaining the Predictions of Any Classifier"

50 / 4,309 papers shown

Title
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models Ian Tenney James Wexler Jasmijn Bastings Tolga Bolukbasi Andy Coenen ... Ellen Jiang Mahima Pushkarna Carey Radebaugh Emily Reif Ann Yuan VLM 46 192 0 12 Aug 2020
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability Dylan Slack Sophie Hilgard Sameer Singh Himabindu Lakkaraju FAtt 29 162 0 11 Aug 2020
Counterfactual Explanation Based on Gradual Construction for Deep Networks Hong G Jung Sin-Han Kang Hee-Dong Kim Dong-Ok Won Seong-Whan Lee OOD FAtt 25 22 0 05 Aug 2020
Explainable Predictive Process Monitoring Musabir Musabayli F. Maggi Williams Rizzi Josep Carmona Chiara Di Francescomarino 19 60 0 04 Aug 2020
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task David Cian Jan van Gemert A. Lengyel FAtt 27 22 0 04 Aug 2020
Safety design concepts for statistical machine learning components toward accordance with functional safety standards Akihisa Morikawa Yamato Matsubara 22 3 0 04 Aug 2020
Explainable Face Recognition Jonathan R. Williford Brandon B. May J. Byrne CVBM 16 71 0 03 Aug 2020
audioLIME: Listenable Explanations Using Source Separation Verena Haunschmid Ethan Manilow Gerhard Widmer FAtt 14 30 0 02 Aug 2020
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery Pavan Rajkumar Magesh Richard Delwin Myloth Rijo Jackson Tom FAtt 19 188 0 01 Aug 2020
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification Cristina Garbacea Mengtian Guo Samuel Carton Qiaozhu Mei 19 28 0 31 Jul 2020
DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning Yail Bian John E. Wenskovitch Chris North 18 11 0 31 Jul 2020
Computing Optimal Decision Sets with SAT Jinqiang Yu Alexey Ignatiev Peter J. Stuckey P. L. Bodic FAtt 22 26 0 29 Jul 2020
Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data Christopher D. Blakely Ole-Christoffer Granmo 30 16 0 27 Jul 2020
Machine Learning Explanations to Prevent Overtrust in Fake News Detection Sina Mohseni Fan Yang Shiva K. Pentyala Mengnan Du Yi Liu Nic Lupfer Xia Hu Shuiwang Ji Eric D. Ragan 21 41 0 24 Jul 2020
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance Mattia Carletti M. Terzi Gian Antonio Susto 36 42 0 21 Jul 2020
Machine Learning approach for Credit Scoring A. R. Provenzano D. Trifirò A. Datteo L. Giada N. Jean A. Riciputi Giacomo Le Pera M. Spadaccino L. Massaron C. Nordio 15 21 0 20 Jul 2020
Sequential Explanations with Mental Model-Based Policies A. Yeung Shalmali Joshi Joseph Jay Williams Frank Rudzicz FAtt LRM 36 15 0 17 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-man Cheung Alexander Binder 28 87 0 17 Jul 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 30 4 0 14 Jul 2020
A simple defense against adversarial attacks on heatmap explanations Laura Rieger Lars Kai Hansen FAtt AAML 33 37 0 13 Jul 2020
Monitoring and explainability of models in production Janis Klaise A. V. Looveren Clive Cox G. Vacanti Alexandru Coca 43 49 0 13 Jul 2020
Scientific Discovery by Generating Counterfactuals using Image Translation Arunachalam Narayanaswamy Subhashini Venugopalan D. Webster L. Peng G. Corrado ... Abigail E. Huang Siva Balasubramanian Michael P. Brenner Phil Q. Nelson A. Varadarajan DiffM MedIm 30 20 0 10 Jul 2020
Impact of Legal Requirements on Explainability in Machine Learning Adrien Bibal Michael Lognoul A. D. Streel Benoit Frénay ELM AILaw FaML 26 9 0 10 Jul 2020
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models Christoph Molnar Gunnar Konig J. Herbinger Timo Freiesleben Susanne Dandl Christian A. Scholbeck Giuseppe Casalicchio Moritz Grosse-Wentrup B. Bischl FAtt AI4CE 31 135 0 08 Jul 2020
Generating Adversarial Examples with Controllable Non-transferability Renzhi Wang Tianwei Zhang Xiaofei Xie Lei Ma Cong Tian Felix Juefei Xu Yang Liu SILM AAML 17 3 0 02 Jul 2020
The Impact of Explanations on AI Competency Prediction in VQA Kamran Alipour Arijit Ray Xiaoyu Lin J. Schulze Yi Yao Giedrius Burachas 30 9 0 02 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 30 627 0 01 Jul 2020
Unifying Model Explainability and Robustness via Machine-Checkable Concepts Vedant Nanda Till Speicher John P. Dickerson Krishna P. Gummadi Muhammad Bilal Zafar AAML 14 4 0 01 Jul 2020
Mobile Link Prediction: Automated Creation and Crowd-sourced Validation of Knowledge Graphs M. Ballandies Evangelos Pournaras HAI 25 8 0 30 Jun 2020
Classification of cancer pathology reports: a large-scale comparative study S. Martina L. Ventura P. Frasconi 27 11 0 29 Jun 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren Mingjie Li Zexu Liu Quanshi Zhang CoGe 19 18 0 29 Jun 2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig Ali Madani Lav Varshney Caiming Xiong R. Socher Nazneen Rajani 34 289 0 26 Jun 2020
Counterfactual explanation of machine learning survival models M. Kovalev Lev V. Utkin CML OffRL 37 19 0 26 Jun 2020
Evaluation of Text Generation: A Survey Asli Celikyilmaz Elizabeth Clark Jianfeng Gao ELM LM&MA 44 378 0 26 Jun 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 42 584 0 26 Jun 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization Haofan Wang Rakshit Naidu J. Michael Soumya Snigdha Kundu FAtt 30 79 0 25 Jun 2020
Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease Ning Wang Mingxuan Chen K. P. Subbalakshmi 25 22 0 25 Jun 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 35 73 0 24 Jun 2020
On Counterfactual Explanations under Predictive Multiplicity Martin Pawelczyk Klaus Broelemann Gjergji Kasneci 25 85 0 23 Jun 2020
Fair Performance Metric Elicitation Gaurush Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 32 18 0 23 Jun 2020
Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology H. Gu Yuan Liang Yifan Xu Christopher Kazu Williams S. Magaki ... Wenzhong Yan X. R. Zhang Yang Li Mohammad Haeri Xiang Ánthony' Chen 40 29 0 23 Jun 2020
Improving LIME Robustness with Smarter Locality Sampling Sean Saito Eugene Chua Nicholas Capel Rocco Hu FAtt AAML 11 22 0 22 Jun 2020
Does Explainable Artificial Intelligence Improve Human Decision-Making? Y. Alufaisan L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu XAI 22 94 0 19 Jun 2020
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection Michael Tsang Dehua Cheng Hanpeng Liu Xuening Feng Eric Zhou Yan Liu FAtt 24 60 0 19 Jun 2020
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19 Manu Siddhartha Avik Santra 13 44 0 19 Jun 2020
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function Thomio Watanabe D. Wolf 27 22 0 18 Jun 2020
Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs Nicolae-Cuatualin Ristea Radu Tudor Ionescu CVBM 8 41 0 17 Jun 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition Kai Y. Xiao Logan Engstrom Andrew Ilyas Aleksander Madry 25 377 0 17 Jun 2020
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks Federico Baldassarre Kevin Smith Josephine Sullivan Hossein Azizpour 34 25 0 16 Jun 2020
A generalizable saliency map-based interpretation of model outcome Shailja Thakur S. Fischmeister AAML FAtt MILM 30 2 0 16 Jun 2020