Curriculum unlearning in humans and neural networks

This paper investigates how neural networks can selectively forget learned information (unlearning) through curriculum-based approaches, drawing parallels to how humans forget and relearn. The research explores mechanisms for removing specific knowledge from trained models without full retraining, with potential applications to data privacy, model correction, and compliance with data deletion requests.

This paper investigates how neural networks can selectively forget learned information (unlearning) through curriculum-based approaches, drawing parallels to how humans forget and relearn. The research explores mechanisms for removing specific knowledge from trained models without full retraining, with potential applications to data privacy, model correction, and compliance with data deletion requests.

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