[Oral Examination Talk] – A Learnable Distillation Approach For Model-agnostic Explainability With Multimodal Applications, {Debarpan, EE} [MMCR, EE, 11:00AM, July 12]
Title: A Learnable Distillation Approach For Model-agnostic Explainability With Multimodal Applications Venue: MMCR, C241, EE, IISc, and also in the Teams Link Date and Time: July 12, 11:00AM. Speaker: Debarpan Bhattacharya, MTech (Res) EE, IISc Abstract: Deep neural networks are the most widely used examples of sophisticated mapping functions from feature space to class labels. In […]