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Found 3 papers, 2 papers with code
Self-Distilled Representation Learning for Time Series
Self-supervised learning for time-series data holds potential similar to that recently unleashed in Natural Language Processing and Computer Vision.
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Generalized Additive Models (GAMs) have recently experienced a resurgence in popularity due to their interpretability, which arises from expressing the target value as a sum of non-linear transformations of the features.
Auto-Compressing Subset Pruning for Semantic Image Segmentation
We show a crucial interplay between providing a high-capacity model at the beginning of training and the compression pressure forcing the model to compress concepts into retained channels.
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