3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2020★ 3 cited
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…
cs.LG2019
An empirical study of the relation between network architecture and complexity
Emir Konuk, Kevin Smith
In this preregistration submission, we propose an empirical study of how networks handle changes in complexity of the data. We investigate the effect of network capacity on general…