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University of Catania
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NCCT can achieve competitive diagnostic performance, retaining 69.1% AUC, challenging the necessity of contrast in abdominal imaging.
Instant, verifiable machine unlearning is now possible without retraining or access to original data, reshaping the landscape of privacy-compliant AI.
Forget gradient descent: this new method routes transformer activations through a Hopfield-inspired memory in a single forward pass to achieve state-of-the-art online continual learning.
You can now audit black-box vision models for biases and failure modes using only their output probabilities, thanks to a clever LLM-powered semantic search.
Forget replaying old data – this continual learning method dreams up entirely new classes to train on, boosting forward transfer and outperforming standard rehearsal techniques.
