Survey on Uncertainty Estimation in Deep Learning

A distinction between aleatoric and epistemic uncertainties is proposed in the domain of medical decision-making (Senge et al., 2014). Their paper explained that aleatoric and epistemic uncertainties are not distinguished in Bayesian inference. Moreover, the expectation over the model with respect to the posterior is used to get our prediction leading to an averaged epistemic...

Empowering the Next Generation My Journey with MISE

In the ever-evolving landscape of artificial intelligence, there’s a pressing need to cultivate diverse talent and foster inclusivity in STEM fields. One initiative that has personally enriched my journey and allowed me to contribute meaningfully to this cause is MISE (Machine Learning in Science and Engineering), a transformative program dedicated to equipping high school...

Tackling Continual Learning: Our Journey in the CVPR 2021 Challenge

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In the rapidly evolving field of AI, one of the biggest hurdles is teaching machines to learn sequentially, like humans do, without forgetting previously acquired knowledge. This is the core challenge of Continual Learning (CL). In 2021, we participated in the...