Papers citing 'Captum: A unified and generic model interpretability library for PyTorch'

Title
On Explaining Multimodal Hateful Meme Detection ModelsThe Web Conference (WWW), 2022 Ming Shan Hee Roy Ka-wei Lee Wen-Haw Chong VLM 227 49 0 04 Apr 2022
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanationsPLoS ONE (PLoS ONE), 2022 Steven Hicks A. Storaas Michael Riegler Cise Midoglu Malek Hammou Thomas de Lange Sravanthi Parasa Pål Halvorsen Inga Strümke XAI FAtt 97 6 0 23 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 297 38 0 23 Mar 2022
Modular and Parameter-Efficient Multimodal Fusion with PromptingFindings (Findings), 2022 Sheng Liang Mengjie Zhao Hinrich Schütze 134 50 0 15 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series Christoffer Loeffler Wei-Cheng Lai Bjoern M. Eskofier Dario Zanca Lukas M. Schmidt Christopher Mutschler AI4TS FAtt 348 6 0 14 Mar 2022
Measuring the Mixing of Contextual Information in the TransformerConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Javier Ferrando Gerard I. Gállego Marta R. Costa-jussá 250 69 0 08 Mar 2022
Sparsity-Inducing Categorical Prior Improves Robustness of the Information BottleneckInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Anirban Samaddar Sandeep Madireddy Dali Wang Tapabrata Maiti Gustavo de los Campos Ian Fischer 185 2 0 04 Mar 2022
Label-Free Explainability for Unsupervised ModelsInternational Conference on Machine Learning (ICML), 2022 Jonathan Crabbé M. Schaar FAtt MILM 154 23 0 03 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training Pervaiz Iqbal Khan Shoaib Ahmed Siddiqui Imran Razzak Andreas Dengel Sheraz Ahmed 115 4 0 03 Mar 2022
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task Maria Mahbub Sudarshan Srinivasan Edmon Begoli Gregory D. Peterson 254 11 0 26 Feb 2022
Continuous Human Action Recognition for Human-Machine Interaction: A ReviewACM Computing Surveys (ACM CSUR), 2022 Harshala Gammulle David Ahmedt-Aristizabal Akila Pemasiri Lachlan Tychsen-Smith L. Petersson Clinton Fookes 217 39 0 26 Feb 2022
Evaluating Feature Attribution Methods in the Image DomainMachine-mediated learning (ML), 2022 Arne Gevaert Axel-Jan Rousseau Thijs Becker D. Valkenborg T. D. Bie Yvan Saeys FAtt 133 26 0 22 Feb 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and BeyondJournal of machine learning research (JMLR), 2022 Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 309 214 0 14 Feb 2022
InterpretTime: a new approach for the systematic evaluation of neural-network interpretability in time series classificationNature Machine Intelligence (Nat. Mach. Intell.), 2022 Hugues Turbé Mina Bjelogrlic Christian Lovis G. Mengaldo AI4TS 120 102 0 11 Feb 2022
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue SamplesAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022 Natalia Garcia Martin S. Malacrino M. Wojciechowska L. Campo Helen Jones ... Chris Holmes K. Sirinukunwattana H. Sailem C. Verrill J. Rittscher 98 5 0 01 Feb 2022
Visualizing Automatic Speech Recognition -- Means for a Better Understanding? Karla Markert Romain Parracone Mykhailo Kulakov Philip Sperl Ching-yu Kao Konstantin Böttinger 186 11 0 01 Feb 2022
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls Farhad Maleki K. Ovens Rajiv Gupta C. Reinhold A. Spatz Reza Forghani 123 104 0 01 Feb 2022
LAP: An Attention-Based Module for Concept Based Self-Interpretation and Knowledge Injection in Convolutional Neural Networks Rassa Ghavami Modegh Ahmadali Salimi Alireza Dizaji Hamid R. Rabiee FAtt 228 0 0 27 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of BehaviorConference on Fairness, Accountability and Transparency (FAccT), 2022 Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 331 21 0 27 Jan 2022
More Than Words: Towards Better Quality Interpretations of Text Classifiers Muhammad Bilal Zafar Philipp Schmidt Michele Donini Cédric Archambeau F. Biessmann Sanjiv Ranjan Das K. Kenthapadi FAtt 184 6 0 23 Dec 2021
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays Benjamin Bergner Csaba Rohrer Aiham Taleb Martha Duchrau Guilherme De Leon J. A. Rodrigues F. Schwendicke J. Krois Christoph Lippert 147 2 0 17 Dec 2021
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 248 46 0 16 Dec 2021
Visualising and Explaining Deep Learning Models for Speech Quality Prediction H. Tilkorn Gabriel Mittag Usability Lab TU Berlin 61 0 0 12 Dec 2021
Rethinking the Authorship Verification Experimental Setups Florin Brad Andrei Manolache Elena Burceanu Antonio Bărbălău Radu Tudor Ionescu Marius Popescu 127 5 0 09 Dec 2021
Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks Lichin Chen J. Sheu Yuh-Jue Chuang Yu Tsao 83 5 0 07 Dec 2021
Improving Deep Learning Interpretability by Saliency Guided TrainingNeural Information Processing Systems (NeurIPS), 2021 Aya Abdelsalam Ismail H. C. Bravo Soheil Feizi FAtt 192 101 0 29 Nov 2021
Picasso: Model-free Feature Visualization Binh Vu Igor L. Markov FAtt VLM 48 1 0 24 Nov 2021
Inferring halo masses with Graph Neural Networks Pablo Villanueva-Domingo F. Villaescusa-Navarro D. Anglés-Alcázar S. Genel F. Marinacci D. Spergel L. Hernquist M. Vogelsberger R. Davé D. Narayanan AI4CE 144 45 0 16 Nov 2021
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines V. Borisov Johannes Meier J. V. D. Heuvel Hamed Jalali Gjergji Kasneci FAtt 123 5 0 14 Nov 2021
A Practical guide on Explainable AI Techniques applied on Biomedical use case applicationsSocial Science Research Network (SSRN), 2021 Adrien Bennetot Ivan Donadello Ayoub El Qadi M. Dragoni Thomas Frossard ... M. Trocan Raja Chatila Andreas Holzinger Artur Garcez Natalia Díaz Rodríguez XAI 156 11 0 13 Nov 2021
Defining and Quantifying the Emergence of Sparse Concepts in DNNsComputer Vision and Pattern Recognition (CVPR), 2021 Jie Ren Mingjie Li Qirui Chen Huiqi Deng Quanshi Zhang 490 40 0 11 Nov 2021
On the Effects of Artificial Data Modification Antonia Marcu Adam Prugel-Bennett 160 3 0 26 Oct 2021
Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasoundsJournal of the American Heart Association : Cardiovascular and Cerebrovascular Disease (JAHA), 2021 Li-Hsin Cheng Pablo Bosch Rutger F. H. Hofman Timo B. Brakenhoff E. F. Bruggemans R. Geest E. Holman 49 7 0 25 Oct 2021
Multi-concept adversarial attacks Vibha Belavadi Yan Zhou Murat Kantarcioglu B. Thuraisingham AAML 134 0 0 19 Oct 2021
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools Davis Brown Henry Kvinge AAML 172 11 0 14 Oct 2021
AutoNLU: Detecting, root-causing, and fixing NLU model errors P. Sethi Denis Savenkov Forough Arabshahi Jack Goetz Micaela Tolliver Nicolas Scheffer I. Kabul Yue Liu Ahmed Aly 87 4 0 12 Oct 2021
Focus! Rating XAI Methods and Finding Biases Anna Arias-Duart Ferran Parés Dario Garcia-Gasulla Victor Gimenez-Abalos 222 35 0 28 Sep 2021
MIIDL: a Python package for microbial biomarkers identification powered by interpretable deep learning Jian Jiang 40 1 0 24 Sep 2021
Explainability Requires Interactivity Matthias Kirchler M. Graf Matthias Kirchler Christoph Lippert FAtt AAML HAI 109 1 0 16 Sep 2021
Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through LexicaConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Shirley Anugrah Hayati Luan Tuyen Chau Lyle Ungar 157 37 0 06 Sep 2021
A Generative Approach for Mitigating Structural Biases in Natural Language Inference Dimion Asael Zachary M. Ziegler Yonatan Belinkov 152 8 0 31 Aug 2021
Thermostat: A Large Collection of NLP Model Explanations and Analysis ToolsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Nils Feldhus Robert Schwarzenberg Sebastian Möller 151 14 0 31 Aug 2021
Explaining Classes through Word Attribution Samuel Rönnqvist A. Myntti Aki-Juhani Kyröläinen S. Pyysalo Veronika Laippala Filip Ginter FAtt 81 0 0 31 Aug 2021
Speaker-Conditioned Hierarchical Modeling for Automated Speech ScoringInternational Conference on Information and Knowledge Management (CIKM), 2021 Yaman Kumar Singla Avykat Gupta Shaurya Bagga Changyou Chen Balaji Krishnamurthy R. Shah 152 15 0 30 Aug 2021
Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension ModelsiScience (iScience), 2021 Yiming Cui Weinan Zhang Wanxiang Che Ting Liu Zhigang Chen Shijin Wang LRM 107 12 0 26 Aug 2021
Challenges for cognitive decoding using deep learning methods A. Thomas Christopher Ré R. Poldrack AI4CE 140 6 0 16 Aug 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language ProcessingBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2021 Sanchit Sinha Hanjie Chen Arshdeep Sekhon Yangfeng Ji Yanjun Qi AAML FAtt 213 47 0 11 Aug 2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep LearningJournal of Pathology Informatics (J Pathol Inform), 2021 Richard J. Chen Ming Y. Lu Drew F. K. Williamson Tiffany Y. Chen Jana Lipkova ... Maha Shady Mane Williams Bumjin Joo Zahra Noor Faisal Mahmood 105 15 0 04 Aug 2021
Temporal Dependencies in Feature Importance for Time Series PredictionsInternational Conference on Learning Representations (ICLR), 2021 Kin Kwan Leung Clayton Rooke Jonathan Smith S. Zuberi Anthony L. Caterini OOD AI4TS 177 36 0 29 Jul 2021
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model BehaviorInternational Conference on Human Factors in Computing Systems (CHI), 2021 Angie Boggust Benjamin Hoover Arvindmani Satyanarayan Hendrik Strobelt 152 60 0 20 Jul 2021