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Survey on Uncertainty Estimation in Deep Learning
Paper Review ·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...
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Empowering the Next Generation My Journey with MISE
Teaching ·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...
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Predicting Neural Network Accuracy from Weights
Paper Review ·In this paper (Unterthiner et al., 2020) showed empirically that we can predict the generalization gap of a neural network by only looking at its weights. In this work, they released a dataset of 120k convolutional neural networks trained...