Efficient Data Representation by Selecting Prototypes with Importance Weights

5 July 2017

Papers citing "Efficient Data Representation by Selecting Prototypes with Importance Weights"

5 / 5 papers shown

Title
Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners Karthikeyan N. Ramamurthy Amit Dhurandhar Dennis L. Wei Zaid Bin Tariq FAtt 45 3 0 02 Feb 2022
Sequential Explanations with Mental Model-Based Policies A. Yeung Shalmali Joshi Joseph Jay Williams Frank Rudzicz FAtt LRM 31 15 0 17 Jul 2020
Interpretable Counterfactual Explanations Guided by Prototypes A. V. Looveren Janis Klaise FAtt 29 380 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 22 82 0 31 May 2019
Leveraging Latent Features for Local Explanations Ronny Luss Pin-Yu Chen Amit Dhurandhar P. Sattigeri Yunfeng Zhang Karthikeyan Shanmugam Chun-Chen Tu FAtt 54 37 0 29 May 2019