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cs.LG2026
Robust Representation Learning in Masked Autoencoders
Anika Shrivastava, Renu Rameshan, Samar Agnihotri
Masked Autoencoders (MAEs) achieve impressive performance in image classification tasks, yet the internal representations they learn remain less understood. This work started as an…
cs.LG2025
Latent Space Characterization of Autoencoder Variants
Anika Shrivastava, Renu Rameshan, Samar Agnihotri
Understanding the latent spaces learned by deep learning models is crucial in exploring how they represent and generate complex data. Autoencoders (AEs) have played a key role in t…