39 citations · 67 across the 5 of their papers we have counts for
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cs.LG2021
Accountable Error Characterization
Amita Misra, Zhe Liu, Jalal Mahmud
Customers of machine learning systems demand accountability from the companies employing these algorithms for various prediction tasks. Accountability requires understanding of sys…
cs.LG2019★ 3 cited
Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation
Yash Bhalgat, Zhe Liu, Pritam Gundecha +2
Given that labeled data is expensive to obtain in real-world scenarios, many semi-supervised algorithms have explored the task of exploitation of unlabeled data. Traditional tri-tr…
cs.LG2018★ 12 cited
Characterizing machine learning process: A maturity framework
Rama Akkiraju, Vibha Sinha, Anbang Xu +5
Academic literature on machine learning modeling fails to address how to make machine learning models work for enterprises. For example, existing machine learning processes cannot…