XAI/XAI-papers
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Anh M. Nguyen 2019-08-10 23:52:37 -05:00 committed by GitHub
parent 64287e92d2
commit 1b5b739c62
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
README.md
View File

@ -136,10 +136,11 @@ This is an on-going attempt to consolidate interesting efforts in the area of un
* Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations [pdf](https://arxiv.org/pdf/1702.07826.pdf)
* Towards robust interpretability with self-explaining neural networks. _Alvarez-Melis and Jaakola 2018_ [pdf](http://people.csail.mit.edu/tommi/papers/SENN_paper.pdf)
# C. Counterfactual explanations (what would have happen)
# C. Counterfactual explanations
* Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections. _Zhang et al. 2018_ [pdf](http://papers.nips.cc/paper/7736-interpreting-neural-network-judgments-via-minimal-stable-and-symbolic-corrections.pdf)
* Counterfactual Visual Explanations. _Goyal et al. 2019_ [pdf](https://arxiv.org/pdf/1904.07451.pdf)
# D. Unclassified
# D. Others
* Yang, S. C. H., & Shafto, P. Explainable Artificial Intelligence via Bayesian Teaching. NIPS 2017 [pdf](http://shaftolab.com/assets/papers/yangShafto_NIPS_2017_machine_teaching.pdf)
* Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation [pdf](http://www.antoniosliapis.com/papers/explainable_ai_for_designers.pdf)
* ICADx: Interpretable computer aided diagnosis of breast masses. _Kim et al. 2018_ [pdf](https://arxiv.org/abs/1805.08960)