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Found 2 papers, 1 papers with code
USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery
Large, self-supervised vision models have led to substantial advancements for automatically interpreting natural images.
Measuring Feature Sparsity in Language Models
We show our metrics can predict the level of sparsity on synthetic sparse linear activations, and can distinguish between sparse linear data and several other distributions.
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