Kun-Peng Ning

Asynchronous Active Learning with Distributed Label Querying

2021

Active learning tries to learn an effective model with lowest labeling cost. Most existing active learning methods work in a synchronous way, which implies that the label querying can be performed only after the model …

Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search

2023 · arXiv (Cornell University)

Search query classification, as an effective way to understand user intents, is of great importance in real-world online ads systems. To ensure a lower latency, a shallow model (e.g. FastText) is widely used for efficient …