KDD2026-BrokenMemories:Detecting andMitigatingMemorization in Diffusion Models with Degraded Gener. @TheOfficialACM
KDD2026-BrokenMemories:Detecting andMitigatingMemorization in Diffusion Models with Degraded Gener. @TheOfficialACM
Uploaded July 2026 | Updated September 2026, 2 weeks ago
Yuanmin Huang, Mi Zhang, Chen Chen, Feifei Li, Geng Hong, Xiaoyu You, Min Yang
KDD2026-BrokenMemories:Detecting andMitigatingMemorization in Diffusion Models with Degraded Gener.MARVIS: Modality Adaptive Reasoning over VISualizationsKDD 2026 - Bounded-Abstention Pairwise Learning to RankKDD 2026 - PinEqualizer: Full Funnel Content Exploration and Debiasing System at PinterestKDD 2026 - ExDBSCAN: Explaining DBSCAN with Counterfactual ReasoningKDD 2026 - RUQuant: Towards Refining Uniform Quantization for Large Language ModelsKDD 2026-MindAdapter:Few-ShotParameter-Effi.Residual Calibr.ofCross-SubjectBrain-to-VisualDec.ModelsKDD 2026 - MapAgent: An Industrial-Grade Agentic Framework for City-scale Lane-level Map GenerationKDD 2026 - AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds2025 Outstanding Contribution to ACM AwardKDD 2026 - Geometry-Preserving Supervised Biological Sequence DesignKDD2026-R-Select: A Robust Multi-Metric DataSelection Approach for Fine-Tuning Large Language Models
Association for Computing Machinery (ACM) |

KDD2026-BrokenMemories:Detecting andMitigatingMemorization in Diffusion Models with Degraded Gener.

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