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Found 2 papers, 1 papers with code
Divide and Conquer the Embedding Space for Metric Learning
Approaches for learning a single distance metric often struggle to encode all different types of relationships and do not generalize well.
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning
Self-supervised learning of convolutional neural networks can harness large amounts of cheap unlabeled data to train powerful feature representations.
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