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12/06/2022
Leveraging Different Learning Styles for Improved Knowledge Distillation
Learning style refers to a type of training mechanism adopted by an indi...
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08/19/2022
IPNET:Influential Prototypical Networks for Few Shot Learning
Prototypical network (PN) is a simple yet effective few shot learning st...
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11/01/2021
Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study
Prototypical network (PN) is a simple yet effective few shot learning st...
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10/21/2021
Augmenting Knowledge Distillation With Peer-To-Peer Mutual Learning For Model Compression
Knowledge distillation (KD) is an effective model compression technique ...
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10/21/2021
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks
In safety-critical applications like medical diagnosis, certainty associ...
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08/04/2021
MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease
Medical imaging datasets are inherently high dimensional with large vari...
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07/08/2021
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification
Different categories of visual stimuli activate different responses in t...
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05/24/2020
Domain Specific, Semi-Supervised Transfer Learning for Medical Imaging
Limited availability of annotated medical imaging data poses a challenge...
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07/26/2018
