Leveraging Latent Features for Local Explanations

Leveraging Latent Features for Local Explanations

29 May 2019

Amit Dhurandhar

Karthikeyan Shanmugam

Papers citing "Leveraging Latent Features for Local Explanations"

16 / 16 papers shown

Title
CELL your Model: Contrastive Explanations for Large Language Models Ronny Luss Erik Miehling Amit Dhurandhar 43 0 0 17 Jun 2024
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 19 3 0 16 Aug 2023
Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency Md Abdul Kadir G. Addluri Daniel Sonntag FAtt 11 1 0 05 Jul 2023
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI Saugat Aryal Markt. Keane 18 21 0 27 Jan 2023
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas 16 3 0 07 Dec 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach Dennis L. Wei Rahul Nair Amit Dhurandhar Kush R. Varshney Elizabeth M. Daly Moninder Singh FAtt 17 9 0 02 Nov 2022
Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations Julia El Zini M. Awad AAML 18 2 0 17 Oct 2022
FIND:Explainable Framework for Meta-learning Xinyue Shao Hongzhi Wang Xiao-Wen Zhu Feng Xiong FedML 14 2 0 20 May 2022
The Solvability of Interpretability Evaluation Metrics Yilun Zhou J. Shah 62 8 0 18 May 2022
Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners K. Ramamurthy Amit Dhurandhar Dennis L. Wei Zaid Bin Tariq FAtt 25 3 0 02 Feb 2022
AI Explainability 360: Impact and Design Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind ... Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis L. Wei Yunfeng Zhang 12 14 0 24 Sep 2021
Let the CAT out of the bag: Contrastive Attributed explanations for Text Saneem A. Chemmengath A. Azad Ronny Luss Amit Dhurandhar FAtt 26 10 0 16 Sep 2021
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals Asma Ghandeharioun Been Kim Chun-Liang Li Brendan Jou B. Eoff Rosalind W. Picard AAML 17 53 0 31 May 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 33 218 0 25 Feb 2021
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives Nils Rethmeier Isabelle Augenstein SSL VLM 85 90 0 25 Feb 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,235 0 24 Jun 2017