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🏢 Center for Neural Science, New York University

Learning predictable and robust neural representations by straightening image sequences
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AI Generated Machine Learning Self-Supervised Learning 🏢 Center for Neural Science, New York University
Self-supervised learning gets a boost: New objective function trains robust & predictive neural networks by straightening video trajectories, surpassing invariance methods for better spatiotemporal re…
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT
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Computer Vision Self-Supervised Learning 🏢 Center for Neural Science, New York University
Self-supervised learning models can now better predict primate IT neural responses by preserving structured variability to input transformations, improving alignment with biological visual perception.