Modern Hopfield energy identifies high-energy samples as more prone to intrinsic forgetting in continual learning, with effective energy-based replay validated in diffusion models.
In search of dispersed memories: Generative diffusion models are associative memory networks.Entropy, 26(5):381, 2024
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Continual Learning in Modern Hopfield Networks with an Application to Diffusion Models
Modern Hopfield energy identifies high-energy samples as more prone to intrinsic forgetting in continual learning, with effective energy-based replay validated in diffusion models.
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