_uncertain-descent-a-simple-baseline-for-bayesian-uncertainty-in-deep-learning.jpg "Uncertain Descent, a simple baseline for bayesian uncertainty in deep learning. from bayesian network training Video Screenshot Preview")
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⏲ Duration: 45 sec
✓ Published: 11-Dec-2019
✓ Published: 11-Dec-2019
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UNCERTAIN DESCENT. NeurIPS 2019, ARXIV:1902.02476 / swa-gaussian (swag). a simple baseline for bayesian uncertainty in deep learning.nnReal Data visualizations using PCA directions. From the authors of the paper: “Machine learning models are used to make decisions, and representing uncertainty is crucial for decision making, especially in safety-critical applications. Deep learning models trained by minimizing the loss on the train dataset tend to provide overconfident and miscalibrated predic
UNCERTAIN DESCENT. NeurIPS 2019, ARXIV:1902.02476 / swa-gaussian (swag). a simple baseline for bayesian uncertainty in deep learning.nnReal Data visualizations using PCA directions. From the authors of the paper: “Machine learning models are used to make decisions, and representing uncertainty is crucial for decision making, especially in safety-critical applications. Deep learning models trained by minimizing the loss on the train dataset tend to provide overconfident and miscalibrated predic
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