Towards Aligning Artificial and Biological Vision Systems With Self-Supervised Representation Learning
N Parthasarathy - 2024 - search.proquest.com
This dissertation investigates self-supervised learning methods for training deep neural
network (DNN) models that better align with both human behavior and neural responses in …
network (DNN) models that better align with both human behavior and neural responses in …
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT
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 …
models trained with traditional supervised object recognition in their ability to predict neural …
Visual Temporal Prediction: Representation, Estimation, and Modeling
PÉH Fiquet - 2024 - search.proquest.com
All organisms make temporal predictions, and their evolutionary fitness generally depends
on the accuracy of these predictions. Understanding what structure enables computing …
on the accuracy of these predictions. Understanding what structure enables computing …