Title
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff Michael J. Naylor C. French Samantha R. Terker Uday Kamath 150 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 156 32 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 212 83 0 24 Jun 2021
Using Integrated Gradients and Constituency Parse Trees to explain Linguistic Acceptability learnt by BERTICON (ICON), 2021 Anmol Nayak Hariprasad Timmapathini 169 5 0 01 Jun 2021
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models B. La Rosa Roberto Capobianco Daniele Nardi VLM 134 10 0 01 Jun 2021
Fine-grained Interpretation and Causation Analysis in Deep NLP ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Hassan Sajjad Narine Kokhlikyan Fahim Dalvi Nadir Durrani MILM 277 8 0 17 May 2021
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learningIEEE Transactions on Medical Imaging (IEEE TMI), 2021 M. Saberian Kathleen P. Moriarty A. Olmstead Christian Hallgrimson Franccois Jean I. Nabi Maxwell W. Libbrecht Ghassan Hamarneh 211 14 0 10 May 2021
Towards Benchmarking the Utility of Explanations for Model Debugging Maximilian Idahl Lijun Lyu U. Gadiraju Avishek Anand XAI 139 19 0 10 May 2021
Do Concept Bottleneck Models Learn as Intended? Andrei Margeloiu Matthew Ashman Umang Bhatt Yanzhi Chen M. Jamnik Adrian Weller SLR 177 109 0 10 May 2021
Improving Attribution Methods by Learning Submodular FunctionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Piyushi Manupriya Tarun Ram Menta S. Jagarlapudi V. Balasubramanian TDI 265 6 0 19 Apr 2021
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge Mimansa Jaiswal E. Provost 155 0 0 18 Apr 2021
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensingInternational Journal of Applied Earth Observation and Geoinformation (JAEOG), 2021 Ioannis Kakogeorgiou Konstantinos Karantzalos XAI 168 140 0 03 Apr 2021
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Pranav Maneriker Yuntian He Srinivas Parthasarathy 123 12 0 01 Apr 2021
Efficient Explanations from Empirical ExplainersBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2021 Robert Schwarzenberg Nils Feldhus Sebastian Möller FAtt 252 9 0 29 Mar 2021
Robust Models Are More Interpretable Because Attributions Look NormalInternational Conference on Machine Learning (ICML), 2021 Zifan Wang Matt Fredrikson Anupam Datta OOD FAtt 278 31 0 20 Mar 2021
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and VotingInternational Workshop on Semantic Evaluation (SemEval), 2021 Abheesht Sharma Harshit Pandey Gunjan Chhablani Yash Bhartia T. Dash 94 1 0 24 Feb 2021
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction TechniquesInternational Workshop on Semantic Evaluation (SemEval), 2021 Gunjan Chhablani Abheesht Sharma Harshit Pandey Yash Bhartia S. Suthaharan 91 14 0 24 Feb 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays Joseph Paul Cohen Rupert Brooks Sovann En Evan Zucker Anuj Pareek M. Lungren Akshay S. Chaudhari FAtt MedIm 180 4 0 18 Feb 2021
Attribution Mask: Filtering Out Irrelevant Features By Recursively Focusing Attention on Inputs of DNNs Jaehwan Lee Joon‐Hyuk Chang TDI FAtt 174 0 0 15 Feb 2021
Detecting Trojaned DNNs Using Counterfactual AttributionsInternational Conference on Applied Algorithms (ICAA), 2020 Karan Sikka Indranil Sur Susmit Jha Anirban Roy Ajay Divakaran AAML 154 13 0 03 Dec 2020
diagNNose: A Library for Neural Activation AnalysisBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2020 Jaap Jumelet AI4CE 116 9 0 13 Nov 2020
Bangla Text Classification using Transformers Tanvirul Alam A. Khan Firoj Alam 140 43 0 09 Nov 2020
Interpretation of NLP models through input marginalizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Siwon Kim Jihun Yi Eunji Kim Sungroh Yoon MILM FAtt 195 63 0 27 Oct 2020
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray ImagesJournal of Imaging (JI), 2020 S. Chatterjee Fatima Saad Chompunuch Sarasaen Suhita Ghosh Valerie Krug ... Petia Radeva G. Rose Sebastian Stober Oliver Speck A. Nürnberger 256 28 0 03 Jun 2020