most citedInvestigating Fine- and Coarse-grained Structural Correspondences Between Deep Neural Networks and Human Object Image Similarity Judgments Using Unsupervised Alignment

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cs.LG2026

Continual Learning in Modern Hopfield Networks with an Application to Diffusion Models

Ken Takeda, Masafumi Oizumi, Ryo Karakida

Generative models, including diffusion models, are increasingly used as foundation models and adapted through sequential fine-tuning, making continual learning an essential problem…