OmniXAI: A Library for Explainable AI

OmniXAI: A Library for Explainable AI

1 June 2022

Silvio Savarese

Papers citing "OmniXAI: A Library for Explainable AI"

18 / 18 papers shown

Title
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 39 0 0 06 May 2025
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability Zhiyu Zhu Jiayu Zhang Zhibo Jin Fang Chen Jianlong Zhou FAtt 14 0 0 03 May 2025
Which LIME should I trust? Concepts, Challenges, and Solutions Patrick Knab Sascha Marton Udo Schlegel Christian Bartelt FAtt 38 0 0 31 Mar 2025
An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services Zerui Wang Yan Liu Jun Huang 36 1 0 05 Nov 2024
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI Qi Huang Emanuele Mezzi Osman Mutlu Miltiadis Kofinas Vidya Prasad Shadnan Azwad Khan Elena Ranguelova N. V. Stein 40 0 0 17 Jul 2024
Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows G. Guo Dustin L. Arendt Alex Endert 25 1 0 02 Apr 2024
EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications N. Pillai A. Das M. Ayoola Ganga Gireesan B. Nanduri Mahalingam Ramkumar SyDa 31 2 0 27 Mar 2024
Inserting Faces inside Captions: Image Captioning with Attention Guided Merging Yannis Tevissen Khalil Guetari Marine Tassel Erwan Kerleroux Frédéric Petitpont 30 0 0 20 Mar 2024
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques Weronika Hryniewska-Guzik Bartosz Sawicki P. Biecek 28 0 0 30 Jan 2024
Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks Zerui Wang Yan Liu AAML 6 1 0 22 Jan 2024
A novel post-hoc explanation comparison metric and applications Shreyan Mitra Leilani H. Gilpin FAtt 21 0 0 17 Nov 2023
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values Yong Zhao Runxin He Nicholas Kersting Can Liu Shubham Agrawal Chiranjeet Chetia Yu Gu FAtt TDI 8 0 0 29 Sep 2023
CLIMAX: An exploration of Classifier-Based Contrastive Explanations Praharsh Nanavati Ranjitha Prasad 19 0 0 02 Jul 2023
Time Interpret: a Unified Model Interpretability Library for Time Series Joseph Enguehard FAtt AI4TS 15 4 0 05 Jun 2023
The XAISuite framework and the implications of explanatory system dissonance Shreyan Mitra Leilani H. Gilpin FAtt 6 1 0 15 Apr 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System Chao Xue W. Liu Shunxing Xie Zhenfang Wang Jiaxing Li ... Shi-Yong Chen Yibing Zhan Jing Zhang Chaoyue Wang Dacheng Tao 27 1 0 01 Mar 2023
TSInterpret: A unified framework for time series interpretability Jacqueline Höllig Cedric Kulbach Steffen Thoma AI4TS AI4CE 19 2 0 10 Aug 2022
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017