Title
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training Pervaiz Iqbal Khan Shoaib Ahmed Siddiqui Imran Razzak Andreas Dengel Sheraz Ahmed 13 3 0 03 Mar 2022
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task Maria Mahbub S. Srinivasan Edmon Begoli Gregory D. Peterson 19 11 0 26 Feb 2022
Continuous Human Action Recognition for Human-Machine Interaction: A Review Harshala Gammulle David Ahmedt-Aristizabal Simon Denman Lachlan Tychsen-Smith L. Petersson Clinton Fookes 35 25 0 26 Feb 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 16 168 0 14 Feb 2022
InterpretTime: a new approach for the systematic evaluation of neural-network interpretability in time series classification Hugues Turbé Mina Bjelogrlic Christian Lovis G. Mengaldo AI4TS 22 6 0 11 Feb 2022
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples Natalia Garcia Martin S. Malacrino M. Wojciechowska L. Campo Helen Jones ... Chris Holmes K. Sirinukunwattana H. Sailem C. Verrill J. Rittscher 9 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 11 8 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 36 67 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 27 0 0 27 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 28 15 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 4 5 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 C. Lippert 20 1 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 36 41 0 16 Dec 2021
Visualising and Explaining Deep Learning Models for Speech Quality Prediction H. Tilkorn Gabriel Mittag Usability Lab TU Berlin 11 0 0 12 Dec 2021
Rethinking the Authorship Verification Experimental Setups Florin Brad Andrei Manolache Elena Burceanu Antonio Bărbălău Radu Tudor Ionescu Marius Popescu 9 4 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 9 4 0 07 Dec 2021
Improving Deep Learning Interpretability by Saliency Guided Training Aya Abdelsalam Ismail H. C. Bravo S. Feizi FAtt 16 79 0 29 Nov 2021
Picasso: Model-free Feature Visualization Binh Vu Igor L. Markov FAtt VLM 9 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 15 35 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 31 5 0 14 Nov 2021
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications Adrien Bennetot Ivan Donadello Ayoub El Qadi M. Dragoni Thomas Frossard ... M. Trocan Raja Chatila Andreas Holzinger Artur Garcez Natalia Díaz Rodríguez XAI 24 7 0 13 Nov 2021
Defining and Quantifying the Emergence of Sparse Concepts in DNNs J. Ren Mingjie Li Qirui Chen Huiqi Deng Quanshi Zhang 12 31 0 11 Nov 2021
On the Effects of Artificial Data Modification Antonia Marcu Adam Prugel-Bennett 6 3 0 26 Oct 2021
Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds Li-Hsin Cheng Pablo Bosch Rutger F. H. Hofman Timo B. Brakenhoff E. F. Bruggemans R. Geest E. Holman 14 4 0 25 Oct 2021
Multi-concept adversarial attacks Vibha Belavadi Yan Zhou Murat Kantarcioglu B. Thuraisingham AAML 28 0 0 19 Oct 2021
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools Davis Brown Henry Kvinge AAML 37 7 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 13 4 0 12 Oct 2021
Focus! Rating XAI Methods and Finding Biases Anna Arias-Duart Ferran Parés Dario Garcia-Gasulla Víctor Giménez-Ábalos 13 32 0 28 Sep 2021
MIIDL: a Python package for microbial biomarkers identification powered by interpretable deep learning Jian Jiang 17 0 0 24 Sep 2021
Explainability Requires Interactivity Matthias Kirchler M. Graf Marius Kloft C. Lippert FAtt AAML HAI 27 1 0 16 Sep 2021
Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica Shirley Anugrah Hayati Dongyeop Kang Lyle Ungar 19 33 0 06 Sep 2021
A Generative Approach for Mitigating Structural Biases in Natural Language Inference Dimion Asael Zachary M. Ziegler Yonatan Belinkov 6 8 0 31 Aug 2021
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools Nils Feldhus Robert Schwarzenberg Sebastian Möller 8 14 0 31 Aug 2021
Explaining Classes through Word Attribution Samuel Rönnqvist A. Myntti Aki-Juhani Kyröläinen S. Pyysalo Veronika Laippala Filip Ginter FAtt 11 0 0 31 Aug 2021
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring Yaman Kumar Singla Avykat Gupta Shaurya Bagga Changyou Chen Balaji Krishnamurthy R. Shah 21 12 0 30 Aug 2021
Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models Yiming Cui Weinan Zhang Wanxiang Che Ting Liu Zhigang Chen Shijin Wang LRM 9 9 0 26 Aug 2021
Challenges for cognitive decoding using deep learning methods A. Thomas Christopher Ré R. Poldrack AI4CE 16 6 0 16 Aug 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing Sanchit Sinha Hanjie Chen Arshdeep Sekhon Yangfeng Ji Yanjun Qi AAML FAtt 12 42 0 11 Aug 2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning 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 20 13 0 04 Aug 2021
Temporal Dependencies in Feature Importance for Time Series Predictions Kin Kwan Leung Clayton Rooke Jonathan Smith S. Zuberi M. Volkovs OOD AI4TS 23 24 0 29 Jul 2021
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior Angie Boggust Benjamin Hoover Arvindmani Satyanarayan Hendrik Strobelt 24 50 0 20 Jul 2021
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff Michael J. Naylor C. French Samantha R. Terker Uday Kamath 36 10 0 12 Jul 2021
A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models Firoj Alam Md. Arid Hasan Tanvirul Alam A. Khan Janntatul Tajrin Naira Khan Shammur A. Chowdhury LM&MA 14 23 0 08 Jul 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy Christopher J. Anders David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin 27 64 0 24 Jun 2021
Using Integrated Gradients and Constituency Parse Trees to explain Linguistic Acceptability learnt by BERT Anmol Nayak Hariprasad Timmapathini 19 4 0 01 Jun 2021
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models B. La Rosa Roberto Capobianco Daniele Nardi VLM 17 9 0 01 Jun 2021
Fine-grained Interpretation and Causation Analysis in Deep NLP Models Hassan Sajjad Narine Kokhlikyan Fahim Dalvi Nadir Durrani MILM 25 8 0 17 May 2021
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning M. Saberian Kathleen P. Moriarty A. Olmstead Christian Hallgrimson Franccois Jean I. Nabi Maxwell W. Libbrecht Ghassan Hamarneh 21 12 0 10 May 2021
Towards Benchmarking the Utility of Explanations for Model Debugging Maximilian Idahl Lijun Lyu U. Gadiraju Avishek Anand XAI 13 18 0 10 May 2021
Do Concept Bottleneck Models Learn as Intended? Andrei Margeloiu Matthew Ashman Umang Bhatt Yanzhi Chen M. Jamnik Adrian Weller SLR 6 91 0 10 May 2021