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10/04/2022
AdaWAC: Adaptively Weighted Augmentation Consistency Regularization for Volumetric Medical Image Segmentation
Sample reweighting is an effective strategy for learning from training d...
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12/07/2021
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning
Sparse shrunk additive models and sparse random feature models have been...
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09/17/2021
AdaLoss: A computationally-efficient and provably convergent adaptive gradient method
We propose a computationally-friendly adaptive learning rate schedule, "...
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06/15/2020
Weighted Optimization: better generalization by smoother interpolation
We provide a rigorous analysis of how implicit bias towards smooth inter...
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08/28/2019