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cs.CV2025
Disentangling Latent Embeddings with Sparse Linear Concept Subspaces (SLiCS)
Zhi Li, Hau Phan, Matthew Emigh +1
Vision-language co-embedding networks, such as CLIP, provide a latent embedding space with semantic information that is useful for downstream tasks. We hypothesize that the embeddi…
cs.CV2024
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex
Alex Mulrooney, Austin J. Brockmeier
Predicting the neural response to natural images in the visual cortex requires extracting relevant features from the images and relating those feature to the observed responses. In…