Title
Scope of Pre-trained Language Models for Detecting Conflicting Health Information Josepho D. Gatto Madhusudan Basak S. Preum 32 7 0 22 Sep 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee Minh Nhat Vu Truc D. T. Nguyen My T. Thai AAML 19 3 0 18 Sep 2022
Machine Reading, Fast and Slow: When Do Models "Understand" Language? Sagnik Ray Choudhury Anna Rogers Isabelle Augenstein LRM 19 17 0 15 Sep 2022
Towards Benchmarking Explainable Artificial Intelligence Methods Lars Holmberg 9 4 0 25 Aug 2022
POPDx: An Automated Framework for Patient Phenotyping across 392,246 Individuals in the UK Biobank Study Lu Yang Sheng Wang Russ Altman LM&MA 16 5 0 23 Aug 2022
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability Wei Huang Xingyu Zhao Gao Jin Xiaowei Huang AAML 30 29 0 19 Aug 2022
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA Rachneet Sachdeva Haritz Puerto Tim Baumgärtner Sewin Tariverdian Hao Zhang Kexin Wang H. Saad Leonardo F. R. Ribeiro Iryna Gurevych AAML 16 2 0 19 Aug 2022
TSInterpret: A unified framework for time series interpretability Jacqueline Höllig Cedric Kulbach Steffen Thoma AI4TS AI4CE 24 2 0 10 Aug 2022
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation Juanwu Lu Wei Zhan M. Tomizuka Yeping Hu 20 6 0 06 Aug 2022
ferret: a Framework for Benchmarking Explainers on Transformers Giuseppe Attanasio Eliana Pastor C. Bonaventura Debora Nozza 33 30 0 02 Aug 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring Nandita Bhaskhar D. Rubin Christopher Lee-Messer 7 5 0 22 Jul 2022
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence Isha Hameed Samuel Sharpe Daniel Barcklow Justin Au-yeung Sahil Verma Jocelyn Huang Brian Barr C. B. Bruss 35 14 0 12 Jul 2022
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications Mirac Suzgun Luke Melas-Kyriazi Suproteem K. Sarkar S. Kominers Stuart M. Shieber 38 24 0 08 Jul 2022
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior Jean-Stanislas Denain Jacob Steinhardt AAML 31 7 0 27 Jun 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 23 140 0 22 Jun 2022
High Resolution Point Clouds from mmWave Radar Akarsh Prabhakara Tao Jin Arnav M. Das Gantavya Bhatt Lilly Kumari E. Soltanaghaei J. Bilmes Swarun Kumar Anthony G. Rowe 9 50 0 18 Jun 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang Yu-Neng Chuang Mengnan Du Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Xia Hu FAtt 18 20 0 17 Jun 2022
Cross-lingual AMR Aligner: Paying Attention to Cross-Attention Abelardo Carlos Martínez Lorenzo Pere-Lluís Huguet Cabot Roberto Navigli 22 4 0 15 Jun 2022
Attributions Beyond Neural Networks: The Linear Program Case Florian Peter Busch Matej Zečević Kristian Kersting D. Dhami FAtt 10 0 0 14 Jun 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 27 16 0 13 Jun 2022
Learning to Estimate Shapley Values with Vision Transformers Ian Covert Chanwoo Kim Su-In Lee FAtt 25 34 0 10 Jun 2022
Xplique: A Deep Learning Explainability Toolbox Thomas Fel Lucas Hervier David Vigouroux Antonin Poché Justin Plakoo ... Agustin Picard C. Nicodeme Laurent Gardes G. Flandin Thomas Serre 11 30 0 09 Jun 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 22 20 0 07 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods Angie Boggust Harini Suresh Hendrik Strobelt John Guttag Arvindmani Satyanarayan FAtt XAI 30 8 0 07 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 19 6 0 06 Jun 2022
Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data Kevin Mayer Lukas Haas Tianyuan Huang Juan Bernabé-Moreno Ram Rajagopal Martin Fischer 16 22 0 05 Jun 2022
Actuarial Applications of Natural Language Processing Using Transformers: Case Studies for Using Text Features in an Actuarial Context Andrea Troxler Jürg Schelldorfer 13 10 0 04 Jun 2022
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations Tessa Han Suraj Srinivas Himabindu Lakkaraju FAtt 30 87 0 02 Jun 2022
Interpretability Guarantees with Merlin-Arthur Classifiers S. Wäldchen Kartikey Sharma Berkant Turan Max Zimmer S. Pokutta FAtt 12 4 0 01 Jun 2022
How explainable are adversarially-robust CNNs? Mehdi Nourelahi Lars Kotthoff Peijie Chen Anh Totti Nguyen AAML FAtt 22 8 0 25 May 2022
Deletion and Insertion Tests in Regression Models Naofumi Hama Masayoshi Mase Art B. Owen 24 8 0 25 May 2022
Interpretation Quality Score for Measuring the Quality of interpretability methods Sean Xie Soroush Vosoughi Saeed Hassanpour XAI 11 5 0 24 May 2022
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization Mirtha Lucas Miguel A. Lerma J. Furst D. Raicu FAtt 19 8 0 22 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aivodji Stephen H. Bach Himabindu Lakkaraju 35 56 0 15 May 2022
Poly-CAM: High resolution class activation map for convolutional neural networks A. Englebert O. Cornu Christophe De Vleeschouwer 13 10 0 28 Apr 2022
Improving Multimodal Speech Recognition by Data Augmentation and Speech Representations Dan Oneaţă H. Cucu 11 19 0 27 Apr 2022
A survey on attention mechanisms for medical applications: are we moving towards better algorithms? Tiago Gonçalves Isabel Rio-Torto Luís F. Teixeira J. S. Cardoso OOD MedIm 24 36 0 26 Apr 2022
Testing robustness of predictions of trained classifiers against naturally occurring perturbations S. Scher A. Trugler OOD AAML 25 1 0 21 Apr 2022
Explainable Analysis of Deep Learning Methods for SAR Image Classification Sheng Su Ziteng Cui Weiwei Guo Zenghui Zhang Wenxian Yu XAI 25 12 0 14 Apr 2022
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets Pervaiz Iqbal Khan Imran Razzak Andreas Dengel Sheraz Ahmed MedIm 17 5 0 13 Apr 2022
Can Question Rewriting Help Conversational Question Answering? Etsuko Ishii Yan Xu Samuel Cahyawijaya Bryan Wilie 31 9 0 13 Apr 2022
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference Kerem Zaman Yonatan Belinkov 21 8 0 11 Apr 2022
On Explaining Multimodal Hateful Meme Detection Models Ming Shan Hee Roy Ka-Wei Lee Wen-Haw Chong VLM 21 39 0 04 Apr 2022
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations Steven Hicks A. Storaas Michael Riegler Cise Midoglu Malek Hammou Thomas de Lange Sravanthi Parasa P. Halvorsen Inga Strümke XAI FAtt 19 4 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 28 30 0 23 Mar 2022
Modular and Parameter-Efficient Multimodal Fusion with Prompting Sheng Liang Mengjie Zhao Hinrich Schütze 23 42 0 15 Mar 2022
Measuring the Mixing of Contextual Information in the Transformer Javier Ferrando Gerard I. Gállego Marta R. Costa-jussá 21 48 0 08 Mar 2022
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck Anirban Samaddar Sandeep Madireddy Prasanna Balaprakash Tapabrata Maiti Gustavo de los Campos Ian Fischer 11 1 0 04 Mar 2022
Label-Free Explainability for Unsupervised Models Jonathan Crabbé M. Schaar FAtt MILM 19 22 0 03 Mar 2022