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I have a quick question. My data is (data1, data2, label), where the label indicates if the pair of data points represent the same thing. 0 being not the same and 1 being the same. My objective is contrastive learning/loss. I take batches of the data, so I may have multiple positive pairs in each batch. What would be the optimal way to use this loss function with this data? Any help would be appreciated. Thanks.
The text was updated successfully, but these errors were encountered:
I have a quick question. My data is (data1, data2, label), where the label indicates if the pair of data points represent the same thing. 0 being not the same and 1 being the same. My objective is contrastive learning/loss. I take batches of the data, so I may have multiple positive pairs in each batch. What would be the optimal way to use this loss function with this data? Any help would be appreciated. Thanks.
The text was updated successfully, but these errors were encountered: