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Avishek Anand
interpretability
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Avishek Anand
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@@ -119,3 +119,19 @@ We release [InterpretMe]
1.
**How to Explain Individual Classification Decisions.**
*Baehrens D, Schroeter T, Harmeling S, Kawanabe M, Hansen K, Mu ̈ller KR*
. Journal of Machine Learning Research. 2010.
[
paper
](
http://www.jmlr.org/papers/volume11/baehrens10a/baehrens10a.pdf
)
## Neural Rankers
1.
**PACRR: A Position-Aware Neural IR Model for Relevance Matching.**
*Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo*
. EMNLP. 2016.
[
paper
](
https://arxiv.org/pdf/1704.03940.pdf
)
1.
**Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval.**
*Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo.*
. WSDM 2018.
[
paper
](
https://arxiv.org/pdf/1706.10192.pdf
)
1.
**DE-PACRR: Exploring Layers Inside the PACRR Model**
*Andrew Yates, Kai Hui*
. Neu-IR 17.
[
paper
](
https://arxiv.org/pdf/1706.08746.pdf
)
1.
**Training deep ranking model with weak relevance labels**
*C Luo, Y Zheng, J Mao, Y Liu, M Zhang.*
. ASDB 2018.
[
paper
](
http://www.thuir.cn/group/~chengluo/publications/ADC2017.pdf
)
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