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This repository has been archived by the owner on Jul 24, 2024. It is now read-only.
Hi, I intend to use InfoNCE loss in a graph, but I am confused about the definition of SimCLR. Based on the random sample approach mentioned in this paper, is it reasonable to choose only one pair in the dataset as positive pair while the rest of pairs are treated as negative pairs? What if all the pairs we sampled are actually positive or negative pairs? Thanks a lot.
The text was updated successfully, but these errors were encountered:
positive pairs are generated from augmentations of the same image, and negative pairs are other (augmented) images in the mini-batch, so you're guaranteed with both positive and negative pairs
Hi, I intend to use InfoNCE loss in a graph, but I am confused about the definition of SimCLR. Based on the random sample approach mentioned in this paper, is it reasonable to choose only one pair in the dataset as positive pair while the rest of pairs are treated as negative pairs? What if all the pairs we sampled are actually positive or negative pairs? Thanks a lot.
The text was updated successfully, but these errors were encountered: