CORDIS Project
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The Correlation-Oriented Representation Learning (CORaL) project explores the relationship between data correlations and the hidden representations in deep learning models. It aims to enhance the interpretability and efficiency of these models by characterizing data structures and validating theoretical insights throug…
Deep learning methods have propelled many of the recent remarkable achievements of artificial intelligence, yet their inner workings remain enigmatic.
How do these methods represent the training examples in their multiple processing layers?
How are these representations used to make decisions on previously unseen data?
The Correlation-Oriented Representation Learning (CORaL) project delves into the intricate relationship between data correlations and the hidden representations of deep neural net…
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