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cs.LG2022★ 1 cited
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning
Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash +2
Deep neural networks (DNN) are prone to miscalibrated predictions, often exhibiting a mismatch between the predicted output and the associated confidence scores. Contemporary model…
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…