Zeyu Dai

PYInfer: Deep Learning Semantic Type Inference for Python Variables

2021 · arXiv (Cornell University)

Python type inference is challenging in practice. Due to its dynamic properties and extensive dependencies on third-party libraries without type annotations, the performance of traditional static analysis techniques is limited. Although semantics in source code …

Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios

2022 · arXiv (Cornell University)

Pool-based Active Learning (AL) has achieved great success in minimizing labeling cost by sequentially selecting informative unlabeled samples from a large unlabeled data pool and querying their labels from oracle/annotators. However, existing AL sampling strategies …