106 citations · 126 across the 4 of their papers we have counts for
3 papers
Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang, Shaoduo Gan, Yue Liu +6
The appeal of serverless (FaaS) has triggered a growing interest on how to use it in data-intensive applications such as ETL, query processing, or machine learning (ML). Several sy…
Adding Seemingly Uninformative Labels Helps in Low Data Regimes
Christos Matsoukas, Albert Bou I Hernandez, Yue Liu +8
Evidence suggests that networks trained on large datasets generalize well not solely because of the numerous training examples, but also class diversity which encourages learning o…
Recurrent knowledge distillation
Silvia L. Pintea, Yue Liu, Jan C. van Gemert
Knowledge distillation compacts deep networks by letting a small student network learn from a large teacher network. The accuracy of knowledge distillation recently benefited from…