Looked at 3 papers (among many more) on unsupervised learning that were presented orally at NIPS 2020. Tried to capture their essence in the following.

Contrastive learning is one of most used method for unsupervised learning. One of earliest uses of contrastive loss (learning) was in [7]. In [7], authors quantized image pair distances as 0 and 1 for similar and dissimilar images. A pair of images is then passed through a symmetrical siamese network. In a siamese network, there are 2 paths with the exactly same network. …

Subrata Goswami

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