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Usma Niyaz

3 papers hereh-index 475 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedUnderstanding Calibration of Deep Neural Networks for Medical Image Classification

36 citations · 36 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023★ 36 cited

Understanding Calibration of Deep Neural Networks for Medical Image Classification

Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan +1

In the field of medical image analysis, achieving high accuracy is not enough; ensuring well-calibrated predictions is also crucial. Confidence scores of a deep neural network play…

cs.CV2022

Leveraging Different Learning Styles for Improved Knowledge Distillation in Biomedical Imaging

Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula

Learning style refers to a type of training mechanism adopted by an individual to gain new knowledge. As suggested by the VARK model, humans have different learning preferences, li…

cs.CV2021

Augmenting Knowledge Distillation With Peer-To-Peer Mutual Learning For Model Compression

Usma Niyaz, Deepti R. Bathula

Knowledge distillation (KD) is an effective model compression technique where a compact student network is taught to mimic the behavior of a complex and highly trained teacher netw…

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