Jan Bakus — accepted AI-conference papers

2023

PLAtE: A Large-scale Dataset for List Page Web Extraction

Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David Ciemiewicz, Sandeep Atluri +3

ACL 2023industry

Recently, neural models have been leveraged to significantly improve the performance of information extraction from semi-structured websites. However, a barrier for continued progress is the small number of datasets large enough to train these models. In this work, we introduce the PLAtE (Pages of L…

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2022

Toward Understanding Privileged Features Distillation in Learning-to-Rank

Shuo Yang, sujay sanghavi, Holakou Rahmanian, Jan Bakus, Vishwanathan S. V. N.

NeurIPS 2022accept

In learning-to-rank problems, a \textit{privileged feature} is one that is available during model training, but not available at test time. Such features naturally arise in merchandised recommendation systems; for instance, "user clicked this item" as a feature is predictive of "user purchased this…

Cited by 18 Source ↗PDF ↗Scholar ↗