Guoliang Kang

Normalizing Batch Normalization for Long-Tailed Recognition

2025 · arXiv (Cornell University)

In real-world scenarios, the number of training samples across classes usually subjects to a long-tailed distribution. The conventionally trained network may achieve unexpected inferior performance on the rare class compared to the frequent class. Most …

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

2019

Industrial recommender systems have embraced deep learning algorithms for building intelligent systems to make accurate recommendations. At its core, deep learning offers powerful ability for learning representations from data, especially for user and item representations. …