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Thomas Edward Yerxa

2 accepted papers

2024

Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT

NeurIPS 2024poster

Models trained with self-supervised learning objectives have recently matched or surpassed models trained with traditional supervised object recognition in their ability to predict neural responses of object-selective neurons in the primate visual system. A self-supervised learning objective is argu…

Cited by 1SourcePDFScholar
2023

Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations

NeurIPS 2023poster

The efficient coding hypothesis proposes that the response properties of sensory systems are adapted to the statistics of their inputs such that they capture maximal information about the environment, subject to biological constraints. While elegant, information theoretic properties are notoriously…