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伞兵团what makes for good views for contrastive learning与众不同近义词
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脖子长古代诗词经典>女人写真what makes for good views for contrastive learning
Good views for contrastive learning can be achieved by prenting different types of data points that are visually and mantically diver from each other. For example, different class labels can be ud, different shapes and colors can be ud, and different levels of granularity can be ud. Additionally, using data points from different contexts or from different datats can help create good views for contrastive learning. Lastly, using data points with different levels of difficulty can also help create better views for contrastive learning.
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