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Debugging Machine Learning Pipelines

Debugging Machine Learning Pipelines

11 February 2020
Raoni Lourenço
J. Freire
D. Shasha
    AI4CE
ArXivPDFHTML

Papers citing "Debugging Machine Learning Pipelines"

4 / 4 papers shown
Title
Interpretable Data-Based Explanations for Fairness Debugging
Interpretable Data-Based Explanations for Fairness Debugging
Romila Pradhan
Jiongli Zhu
Boris Glavic
Babak Salimi
10
53
0
17 Dec 2021
Preventing Machine Learning Poisoning Attacks Using Authentication and
  Provenance
Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance
Jack W. Stokes
P. England
K. Kane
AAML
11
14
0
20 May 2021
Explanation-Based Human Debugging of NLP Models: A Survey
Explanation-Based Human Debugging of NLP Models: A Survey
Piyawat Lertvittayakumjorn
Francesca Toni
LRM
35
79
0
30 Apr 2021
MLCask: Efficient Management of Component Evolution in Collaborative
  Data Analytics Pipelines
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
Zhaojing Luo
Sai-Ho Yeung
Meihui Zhang
Kaiping Zheng
Lei Zhu
Gang Chen
Feiyi Fan
Qian Lin
K. Ngiam
Beng Chin Ooi
29
29
0
17 Oct 2020
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