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Avishek Anand
interpretability
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Mar 21, 2018
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Avishek Anand
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@@ -12,9 +12,6 @@ We release [InterpretMe]
### Journal and Conference papers:
1.
**DeepWalk: Online Learning of Social Representations.**
*Bryan Perozzi, Rami Al-Rfou, Steven Skiena.*
KDD 2014.
[
paper
](
https://arxiv.org/pdf/1403.6652
)
[
code
]
(https://github.com/phanein/deepwalk)
1.
**Towards a rigorous science of interpretable machine learning.**
*Finale Doshi-Velez and Been Kim.*
2017. [paper]
...
...
@@ -28,13 +25,13 @@ We release [InterpretMe]
*Michael C Hughes, Huseyin Melih Elibol, Thomas McCoy, Roy Perlis, and Finale Doshi-Velez.*
.2016.
[
paper
](
https://arxiv.org/pdf/1612.01678
)
1.
**A unified approach to interpreting model predictions.**
*Scott Lundberg and Su-In Lee.*
2016.
[
paper
](
https://arxiv.org/pdf/1705.07874
)
*Scott Lundberg and Su-In Lee.*
.
2016.
[
paper
](
https://arxiv.org/pdf/1705.07874
)
1.
**A human-grounded evaluation benchmark for local explanations of machine learning.**
*Sina Mohseni and Eric D Ragan.*
2018.
[
paper
](
https://arxiv.org/pdf/1801.05075
)
.
*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]
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
)
*Andrew Slavin Ross, Michael C. Hughes, and Finale Doshi-Velez.*
.
IJCAI 2018.
[
paper
](
https://doi.org/10.24963/ijcai.2017/371
)
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