Update README.md

README.md

@@ -13,13 +13,13 @@ We release [InterpretMe]
 ### Journal and Conference papers:
 
 1. **Towards a rigorous science of interpretable machine learning.**
-*Finale Doshi-Velez and Been Kim.*  2017. [paper]
+*Finale Doshi-Velez and Been Kim.*  2017. [paper](https://arxiv.org/pdf/1702.08608.pdf)
 
 1. **Streaming weak submodularity: Interpreting neural networks on the fly.**
 *Ethan R Elenberg, Alexandros G Dimakis, Moran Feldman, and Amin Karbasi*. 2017 [paper](https://arxiv.org/pdf/1703.02647).
 
 1. **Interpretable explanations of black boxes by meaningful perturbation.**
-*Ruth C Fong and Andrea Vedaldi.*.CVPR 2017. [paper]
+*Ruth C Fong and Andrea Vedaldi.*.CVPR 2017. [paper](https://arxiv.org/pdf/1704.03296.pdf)
 
 1. **Supervised topic models for clinical interpretability.**
 *Michael C Hughes, Huseyin Melih Elibol, Thomas McCoy, Roy Perlis, and Finale Doshi-Velez*.2016. [paper](https://arxiv.org/pdf/1612.01678)
@@ -31,7 +31,7 @@ We release [InterpretMe]
 *Sina Mohseni and Eric D Ragan*.2018. [paper](https://arxiv.org/pdf/1801.05075).
 
 1. **Anchors: High-precision model-agnostic explanations.**
-*Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin*.AAAI 2018. [paper]
+*Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin*.AAAI 2018. [paper](https://homes.cs.washington.edu/~marcotcr/aaai18.pdf)
 
 1. **Right for the right reasons: Training differentiable models by constraining their explanations.**
 *Andrew Slavin Ross, Michael C. Hughes, and Finale Doshi-Velez*.IJCAI 2018. [paper](https://doi.org/10.24963/ijcai.2017/371)
@@ -61,10 +61,10 @@ We release [InterpretMe]
 *Fong, Ruth C and Vedaldi, Andrea*.ICCV 2017.[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Fong_Interpretable_Explanations_of_ICCV_2017_paper.pdf)
 
 1. **Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction.**
-*Sungyong Seo, Jing Huang, Hao Yang, and Yan Liu*. Recsys 2017.
+*Sungyong Seo, Jing Huang, Hao Yang, and Yan Liu*. Recsys 2017.[paper](https://dl.acm.org/citation.cfm?id=3109890)
 
 1. **Explicit factor models for explainable recommendation based on phrase-level sentiment analysis.**
-*YongfengZhang,GuokunLai,MinZhang,YiZhang,YiqunLiu,and Shaoping Ma*. SIGIR 2014.
+*Yongfeng Zhang,Guokun Lai,Min Zhang,Yi Zhang,Yiqun Liu,and Shaoping Ma*. SIGIR 2014.[paper](http://yongfeng.me/attach/efm-slice-zhang.pdf)
 
 1. **What your images reveal: Exploiting visual contents for point-of-interest recommendation.**
-*Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu,Suhas Ranganath,and Huan Liu*. WWW 2017.
+*Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu,Suhas Ranganath,and Huan Liu*. WWW 2017.[paper](http://www.public.asu.edu/~swang187/publications/VPOI.pdf)