Information Contrastive Learning (I-Con)
Discovering a periodic table of machine learning connecting over 23 different methods
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Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their framework, called Information Contrastive Learning (I-Con), shows that a variety of different…
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“Periodic table of machine learning” could fuel AI discovery
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones. Their paper “I-Con: A Unifying Framework for Representation Learning” was accepted to the International Conference on Learning Representations.