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Efficient Data Representation by Selecting Prototypes with Importance Weights
5 July 2017
Karthik S. Gurumoorthy
Amit Dhurandhar
Guillermo Cecchi
Charu Aggarwal
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Papers citing
"Efficient Data Representation by Selecting Prototypes with Importance Weights"
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Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Munib Mesinovic
Peter Watkinson
Ting Zhu
FaML
300
9
0
16 Aug 2023
Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners
Karthikeyan N. Ramamurthy
Amit Dhurandhar
Dennis L. Wei
Zaid Bin Tariq
FAtt
280
3
0
02 Feb 2022
A Survey on the Explainability of Supervised Machine Learning
Journal of Artificial Intelligence Research (JAIR), 2020
Nadia Burkart
Marco F. Huber
FaML
XAI
431
928
0
16 Nov 2020
Sequential Explanations with Mental Model-Based Policies
A. Yeung
Shalmali Joshi
Joseph Jay Williams
Frank Rudzicz
FAtt
LRM
282
16
0
17 Jul 2020
Interpretable Counterfactual Explanations Guided by Prototypes
A. V. Looveren
Janis Klaise
FAtt
450
460
0
03 Jul 2019
Model Agnostic Contrastive Explanations for Structured Data
Amit Dhurandhar
Tejaswini Pedapati
Avinash Balakrishnan
Pin-Yu Chen
Karthikeyan Shanmugam
Ruchi Puri
FAtt
348
93
0
31 May 2019
Leveraging Latent Features for Local Explanations
Knowledge Discovery and Data Mining (KDD), 2019
Ronny Luss
Pin-Yu Chen
Amit Dhurandhar
P. Sattigeri
Yunfeng Zhang
Karthikeyan Shanmugam
Chun-Chen Tu
FAtt
375
37
0
29 May 2019
Streaming Methods for Restricted Strongly Convex Functions with Applications to Prototype Selection
Karthik S. Gurumoorthy
Amit Dhurandhar
160
0
0
21 Jul 2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar
Pin-Yu Chen
Ronny Luss
Chun-Chen Tu
Pai-Shun Ting
Karthikeyan Shanmugam
Payel Das
FAtt
505
664
0
21 Feb 2018
TIP: Typifying the Interpretability of Procedures
Amit Dhurandhar
Vijay Iyengar
Ronny Luss
Karthikeyan Shanmugam
367
35
0
09 Jun 2017
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