NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
The rise of deep neural networks offers new opportunities in optimizing recommender systems. However, optimizing recommender systems using deep neural networks requires delicate architecture fabrication. We propose NASRec, a paradigm that trains a single supernet and efficiently produces abundant models/sub-architectures by weight sharing. To overcome the data multi-modality and architecture …