Commit e1b63fc4 authored by Avishek Anand's avatar Avishek Anand
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parent 9f060af8
......@@ -29,15 +29,9 @@ We release [InterpretMe]
1. **Towards a rigorous science of interpretable machine learning.**
*Finale Doshi-Velez and Been Kim.* 2017. [paper](
1. **Streaming weak submodularity: Interpreting neural networks on the fly.**
*Ethan R Elenberg, Alexandros G Dimakis, Moran Feldman, and Amin Karbasi*. 2017 [paper](
1. **Interpretable explanations of black boxes by meaningful perturbation.**
*Ruth C Fong and Andrea Vedaldi.*.CVPR 2017. [paper](
1. **Supervised topic models for clinical interpretability.**
*Michael C Hughes, Huseyin Melih Elibol, Thomas McCoy, Roy Perlis, and Finale Doshi-Velez*.2016. [paper](
1. **A unified approach to interpreting model predictions.**
*Scott Lundberg and Su-In Lee*.2016. [paper](
......@@ -56,15 +50,9 @@ We release [InterpretMe]
1. **TEM:Tree-enhanced Embedding Model for Explainable Recommendation Xiang Wang.**
*Xiangnan He, Fuli Feng, Liqiang Nie and Tat-Seng Chua*. WWW’18. [paper](
1. **Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music.**
*Haizi Yu, Lav R. Varshney*. ICLR’17. [paper](
1. **Generating Interpretable Images with Controllable Structure**
*Scott Reed, Aron van den Oord, Nal Kalchbrenner, Victor Bapst, Matt Botvinick, Nando de Freitas*. ICLR’17. [paper](
1. **Supervised topic models for clinical interpretability.**
*Hughes et al.*. 2016.[paper](
1. **An Effective and Interpretable Method for Document Classification**
*Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Chien Nguyen Dang*. KAIS 2016.[paper](
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