9 citations · 12 across the 5 of their papers we have counts for
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cs.LG2025
Beyond I-Con: Exploring New Dimension of Distance Measures in Representation Learning
Jasmine Shone, Zhening Li, Shaden Alshammari +2
The Information Contrastive (I-Con) framework revealed that over 23 representation learning methods implicitly minimize KL divergence between data and learned distributions that en…
cs.LG2025★ 1 cited
I-Con: A Unifying Framework for Representation Learning
Shaden Alshammari, John Hershey, Axel Feldmann +2
As the field of representation learning grows, there has been a proliferation of different loss functions to solve different classes of problems. We introduce a single information-…