I-CARE: analysis of interference-related phenomena in a controllable, diverse and representative unlearning setting for text-to-image models
Read the original at arxiv.org→arXiv:2609.00003v1 Announce Type: new Abstract: Machine unlearning studies the removal of knowledge from an AI model, making the system forget a concept it previously learned. Despite rapid progress in generative...
Original headline: "I-CARE: Analysis of interference-related phenomena in a controllable, diverse and representative unlearning setting for text-to-image models"
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- Sep 2, 04:00 UTC arXiv cs.AI lead source I-CARE: Analysis of interference-related phenomena in a controllable, diverse and representative unlearning setting for text-to-image models