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2003.06005
Cited By
Model Agnostic Multilevel Explanations
Neural Information Processing Systems (NeurIPS), 2020
12 March 2020
Karthikeyan N. Ramamurthy
B. Vinzamuri
Yunfeng Zhang
Amit Dhurandhar
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Papers citing
"Model Agnostic Multilevel Explanations"
22 / 22 papers shown
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2024
Debarpan Bhattacharya
A. H. Poorjam
Deepak Mittal
Sriram Ganapathy
244
0
0
17 Sep 2024
Explaining Predictions by Characteristic Rules
Amr Alkhatib
Henrik Bostrom
Michalis Vazirgiannis
293
6
0
31 May 2024
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
Patryk Wielopolski
Oleksii Furman
Łukasz Lenkiewicz
Jerzy Stefanowski
Maciej Ziȩba
396
6
0
27 May 2024
Incremental XAI: Memorable Understanding of AI with Incremental Explanations
International Conference on Human Factors in Computing Systems (CHI), 2024
Jessica Y. Bo
Pan Hao
Brian Y Lim
CLL
230
19
0
10 Apr 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification
Amit Dhurandhar
Swagatam Haldar
Dennis L. Wei
Karthikeyan N. Ramamurthy
FAtt
403
3
0
17 Feb 2024
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Zachariah Carmichael
Walter J. Scheirer
FAtt
286
8
0
27 Oct 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations
International Conference on Machine Learning (ICML), 2023
Jingquan Yan
Hao Wang
BDL
AI4TS
450
27
0
09 Jun 2023
Adaptive Stochastic Optimisation of Nonconvex Composite Objectives
Weijia Shao
F. Sivrikaya
S. Albayrak
202
0
0
21 Nov 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
374
186
0
20 Oct 2022
Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Julia El Zini
M. Awad
AAML
197
2
0
17 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey
Computational Linguistics (CL), 2022
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
568
178
0
22 Sep 2022
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
Timur Sattarov
Dayananda Herurkar
Jörn Hees
212
11
0
21 Sep 2022
Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2022
Weijia Shao
S. Albayrak
218
1
0
09 Aug 2022
Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners
Karthikeyan N. Ramamurthy
Amit Dhurandhar
Dennis L. Wei
Zaid Bin Tariq
FAtt
221
3
0
02 Feb 2022
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
Neural Information Processing Systems (NeurIPS), 2022
Amit Dhurandhar
Karthikeyan N. Ramamurthy
Kartik Ahuja
Vijay Arya
FAtt
319
6
0
28 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
ACM Computing Surveys (ACM CSUR), 2022
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
716
591
0
20 Jan 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
WIREs Mechanisms of Disease (WIREs Mech Dis), 2021
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
299
79
0
05 Dec 2021
Let the CAT out of the bag: Contrastive Attributed explanations for Text
Saneem A. Chemmengath
A. Azad
Ronny Luss
Amit Dhurandhar
FAtt
332
11
0
16 Sep 2021
Post-hoc Interpretability for Neural NLP: A Survey
ACM Computing Surveys (CSUR), 2021
Andreas Madsen
Siva Reddy
A. Chandar
XAI
433
285
0
10 Aug 2021
Extending LIME for Business Process Automation
Sohini Upadhyay
Vatche Isahagian
Vinod Muthusamy
Sadhana Kumaravel
FAtt
235
5
0
09 Aug 2021
On the Computational Intelligibility of Boolean Classifiers
International Conference on Principles of Knowledge Representation and Reasoning (KR), 2021
Gilles Audemard
S. Bellart
Louenas Bounia
F. Koriche
Jean-Marie Lagniez
Pierre Marquis
283
69
0
13 Apr 2021
A Survey on Neural Network Interpretability
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2020
Yu Zhang
Peter Tiño
A. Leonardis
Shengcai Liu
FaML
XAI
599
851
0
28 Dec 2020
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