Qingquan Song

Towards Explanation of DNN-based Prediction with Guided Feature Inversion

2018

While deep neural networks (DNN) have become an effective computational tool, the prediction results are often criticized by the lack of interpretability, which is essential in many real-world applications such as health informatics. Existing attempts …

PME: pruning-based multi-size embedding for recommender systems

2023 · Frontiers in Big Data

Embedding is widely used in recommendation models to learn feature representations. However, the traditional embedding technique that assigns a fixed size to all categorical features may be suboptimal due to the following reasons. In recommendation …