Title
Expository Text Generation: Imitate, Retrieve, ParaphraseConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Nishant Balepur Jie Huang Kevin Chen-Chuan Chang 215 11 0 05 May 2023
Evaluating Post-hoc Interpretability with Intrinsic Interpretability J. P. Amorim P. Abreu João A. M. Santos Henning Muller FAtt 165 2 0 04 May 2023
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet MarketsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 V. Saxena Nils Rethmeier Gijs Van Dijck Gerasimos Spanakis 132 7 0 04 May 2023
UNADON: Transformer-based model to predict genome-wide chromosome spatial position Muyu Yang Jian Ma MedIm ViT 61 3 0 26 Apr 2023
Shape-Net: Room Layout Estimation from Panoramic Images Robust to Occlusion using Knowledge Distillation with 3D Shapes as Additional Inputs M. Tabata Kana Kurata Junichiro Tamamatsu 3DV 3DPC 125 7 0 25 Apr 2023
Robustness of Visual Explanations to Common Data Augmentation Lenka Tětková Lars Kai Hansen AAML 205 6 0 18 Apr 2023
The XAISuite framework and the implications of explanatory system dissonance Shreyan Mitra Leilani H. Gilpin FAtt 144 1 0 15 Apr 2023
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival PredictionComputer Vision and Pattern Recognition (CVPR), 2023 Guillaume Jaume Anurag J. Vaidya Richard J. Chen Drew F. K. Williamson Paul Pu Liang Faisal Mahmood 400 102 0 13 Apr 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and EquivarianceNeural Information Processing Systems (NeurIPS), 2023 Jonathan Crabbé M. Schaar AAML 251 13 0 13 Apr 2023
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence ModelsEye Tracking Research & Application (ETRA), 2023 Daniel G. Krakowczyk Paul Prasse D. R. Reich Sebastian Lapuschkin Tobias Scheffer Lena A. Jäger 172 4 0 12 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle RecognitionIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023 Wei-Jang Li Wei Yang Wenpeng Zhang Tianpeng Liu Yongxiang Liu Wenshu Fan 258 29 0 07 Apr 2023
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms Florin Condrea S. Rapaka Lucian Itu Puneet Sharma J. Sperl Mohamed Ali Marius Leordeanu 129 8 0 30 Mar 2023
Not cool, calm or collected: Using emotional language to detect COVID-19 misinformation Gabriel Asher Phil Bohlman Karsten Kleyensteuber 118 0 0 27 Mar 2023
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record C. McMaster D. Liew Douglas E. V. Pires 186 6 0 27 Mar 2023
Better Understanding Differences in Attribution Methods via Systematic EvaluationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Sukrut Rao Moritz D Boehle Bernt Schiele XAI 211 7 0 21 Mar 2023
Studying Limits of Explainability by Integrated Gradients for Gene Expression Models Myriam Bontonou Anais Haget Maria Boulougouri J. Arbona Benjamin Audit Pierre Borgnat 82 2 0 19 Mar 2023
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust ModelsIEEE Access (IEEE Access), 2023 Ian E. Nielsen Ravichandran Ramachandran N. Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool AAML FAtt 319 12 0 15 Mar 2023
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning Alessio Colucci A. Steininger Mohamed Bennai AAML 147 4 0 14 Mar 2023
NxPlain: Web-based Tool for Discovery of Latent ConceptsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Fahim Dalvi Nadir Durrani Hassan Sajjad Tamim Jaban Musab Husaini Ummar Abbas 185 1 0 06 Mar 2023
CoRTX: Contrastive Framework for Real-time ExplanationInternational Conference on Learning Representations (ICLR), 2023 Yu-Neng Chuang Guanchu Wang Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Helen Zhou 231 24 0 05 Mar 2023
Inseq: An Interpretability Toolkit for Sequence Generation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Gabriele Sarti Nils Feldhus Ludwig Sickert Oskar van der Wal Malvina Nissim Arianna Bisazza 315 90 0 27 Feb 2023
Solution for the EPO CodeFest on Green Plastics: Hierarchical multi-label classification of patents relating to green plastics using deep learning Tingting Qiao Gonzalo Moro Perez 76 0 0 22 Feb 2023
Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AIInternational Symposium on Circuits and Systems (ISCAS), 2023 Ashwin Bhat A. Raychowdhury 248 5 0 22 Feb 2023
Red Teaming Deep Neural Networks with Feature Synthesis ToolsNeural Information Processing Systems (NeurIPS), 2023 Stephen Casper Yuxiao Li Jiawei Li Tong Bu Ke Zhang K. Hariharan Dylan Hadfield-Menell AAML 379 21 0 08 Feb 2023
PAMI: partition input and aggregate outputs for model interpretationPattern Recognition (Pattern Recogn.), 2023 Wei Shi Wentao Zhang Weishi Zheng Ruixuan Wang FAtt 397 5 0 07 Feb 2023
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention MapsInternational Conference on Learning Representations (ICLR), 2023 Goro Kobayashi Tatsuki Kuribayashi Sho Yokoi Kentaro Inui 449 25 0 01 Feb 2023
Explainable Multilayer Graph Neural Network for Cancer Gene Prediction Michail Chatzianastasis Michalis Vazirgiannis Zijun Zhang 107 26 0 20 Jan 2023
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention ManipulationNeural Information Processing Systems (NeurIPS), 2023 Bjorn Deiseroth Mayukh Deb Samuel Weinbach Manuel Brack P. Schramowski Kristian Kersting 288 36 0 19 Jan 2023
Learning to Maximize Mutual Information for Dynamic Feature SelectionInternational Conference on Machine Learning (ICML), 2023 Ian Covert Wei Qiu Mingyu Lu Nayoon Kim Nathan White Su-In Lee 271 54 0 02 Jan 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant SubspacesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Pattarawat Chormai J. Herrmann Klaus-Robert Muller G. Montavon FAtt 420 27 0 30 Dec 2022
Relational Local Explanations V. Borisov Gjergji Kasneci FAtt 245 0 0 23 Dec 2022
A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language ModelsConference on Computational Natural Language Learning (CoNLL), 2022 Karin de Langis Luan Tuyen Chau 235 1 0 19 Dec 2022
Estimating the Adversarial Robustness of Attributions in Text with Transformers Adam Ivankay Mattia Rigotti Ivan Girardi Chiara Marchiori P. Frossard 149 1 0 18 Dec 2022
Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data Utku Ozbulak Solha Kang Jasper Zuallaert Stephen Depuydt J. Vankerschaver 121 0 0 12 Dec 2022
A Modality-level Explainable Framework for Misinformation Checking in Social Networks Vítor Lourencco A. Paes 135 5 0 08 Dec 2022
A Dataless FaceSwap Detection Approach Using Synthetic Images Anubhav Jain Nasir Memon Julian Togelius CVBM 180 7 0 05 Dec 2022
BARTSmiles: Generative Masked Language Models for Molecular RepresentationsJournal of Chemical Information and Modeling (JCIM), 2022 Gayane Chilingaryan Hovhannes Tamoyan Ani Tevosyan N. Babayan L. Khondkaryan Karen Hambardzumyan Zaven Navoyan Hrant Khachatrian Armen Aghajanyan SSL 189 38 0 29 Nov 2022
Towards More Robust Interpretation via Local Gradient AlignmentAAAI Conference on Artificial Intelligence (AAAI), 2022 Sunghwan Joo Seokhyeon Jeong Juyeon Heo Adrian Weller Taesup Moon FAtt 245 7 0 29 Nov 2022
Foiling Explanations in Deep Neural Networks Snir Vitrack Tamam Raz Lapid Moshe Sipper AAML 199 21 0 27 Nov 2022
On Pitfalls of Measuring Occlusion Robustness through Data Distortion Antonia Marcu 123 0 0 24 Nov 2022
Evaluating Feature Attribution Methods for Electrocardiogram J. Suh Jimyeong Kim Euna Jung Wonjong Rhee FAtt 182 2 0 23 Nov 2022
Improving Interpretability via Regularization of Neural Activation SensitivityMachine-mediated learning (ML), 2022 Ofir Moshe Gil Fidel Ron Bitton A. Shabtai AAML AI4CE 115 7 0 16 Nov 2022
A Rigorous Study Of The Deep Taylor Decomposition Leon Sixt Tim Landgraf FAtt AAML 145 7 0 14 Nov 2022
ConceptX: A Framework for Latent Concept AnalysisAAAI Conference on Artificial Intelligence (AAAI), 2022 Firoj Alam Fahim Dalvi Nadir Durrani Hassan Sajjad A. Khan Jia Xu 129 6 0 12 Nov 2022
Understanding Text Classification Data and Models Using Aggregated Input Salience Sebastian Ebert Alice Shoshana Jakobovits Katja Filippova FAtt 355 3 0 10 Nov 2022
The Legal Argument Reasoning Task in Civil Procedure Leonard Bongard Lena Held Ivan Habernal AILaw ELM 134 22 0 05 Nov 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and SoundNeural Information Processing Systems (NeurIPS), 2022 Arushi Gupta Nikunj Saunshi Dingli Yu Kaifeng Lyu Sanjeev Arora AAML FAtt XAI 128 8 0 05 Nov 2022
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and UsabilityARES (ARES), 2022 Dipkamal Bhusal Rosalyn Shin Ajay Ashok Shewale M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi FAtt AAML 278 15 0 31 Oct 2022
PAGE: Prototype-Based Model-Level Explanations for Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Yong-Min Shin Sun-Woo Kim Won-Yong Shin 154 10 0 31 Oct 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Dong-Ho Lee Akshen Kadakia Brihi Joshi Aaron Chan Ziyi Liu ... Takashi Shibuya Ryosuke Mitani Toshiyuki Sekiya Jay Pujara Xiang Ren LRM 196 11 0 30 Oct 2022

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Captum: A unified and generic model interpretability library for PyTorch

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