2 papers
cs.CV2021
Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets
Matthew Gwilliam, Srinidhi Hegde, Lade Tinubu +1
Many existing works have made great strides towards reducing racial bias in face recognition. However, most of these methods attempt to rectify bias that manifests in models during…
cs.LG2019
Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework
Srinidhi Hegde, Ranjitha Prasad, Ramya Hebbalaguppe +1
The holy grail in deep neural network research is porting the memory- and computation-intensive network models on embedded platforms with a minimal compromise in model accuracy. To…