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Found 4 papers, 1 papers with code
Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis
We first define Phase 1 and Phase 2 of fine-tuning based on when representation rank peaks.
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration
However, the common limitation is that while images are saved in a compressed format before being enhanced by IR, prior work does not consider the impact of compression on the IR quality.
Deep reinforcement learning for guidewire navigation in coronary artery phantom
In percutaneous intervention for treatment of coronary plaques, guidewire navigation is a primary procedure for stent delivery.
Clustering Approaches for Global Minimum Variance Portfolio
Even though sample covariance matrix is an unbiased estimator of the population covariance matrix, it includes a great amount of estimation error especially when the number of observed data is not much bigger than number of assets.
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