Statistical Learning
Diversifying Spatial-Temporal Perception for Video Domain Generalization Kun-Y u Lin
Neural Information Processing Systems
However, existing video classification models rely on the i.i.d.
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Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
Neural Information Processing Systems
However, existing contrastive learning methods primarily focus on one single data level, which fails to fully exploit the intricate nature of medical time series.
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