Neighborhood smoothing for calibration improves train-time calibration by encouraging similar predictive distributions across neighboring samples in representation space.
Read the original at arxiv.org→arXiv:2610.09020v1 Announce Type: new Abstract: Modern neural networks are often miscalibrated, with a tendency to overconfidence. Existing train-time calibration methods largely modify task losses or calibration...
Original headline: "Neighborhood Smoothing for Calibration"
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- Oct 8, 04:00 UTC arXiv cs.LG lead source Neighborhood Smoothing for Calibration