2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
CubicML: Automated ML for Large ML Systems Co-design with ML Prediction of Performance
Wei Wen, Quanyu Zhu, Weiwei Chu +2
Scaling up deep learning models has been proven effective to improve intelligence of machine learning (ML) models, especially for industry recommendation models and large language…
cs.LG2023★ 2 cited
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape
Hua Zheng, Kuang-Hung Liu, Igor Fedorov +3
Neural Architecture Search (NAS) has become a widely used tool for automating neural network design. While one-shot NAS methods have successfully reduced computational requirements…