ARIA: Adaptive Region-Based Importance Allocation for Conditional Diffusion Distillation
Distilling conditional diffusion models aims to transfer the behavior of a large teacher to a smaller student while preserving alignment across conditioning inputs. Unlike recognition tasks, knowledge distillation in conditional diffusion often struggles to transfer knowledge beyond the training distribution, since the predicted noise strongly depends on the conditioning signal. As a result, effective distillation requires exploring a large conditioning space. In practical settings, this creates
Record details
Published: 22 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Children & education
Retrieved: 14 July 2026
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ethics.ai (22 June 2026), “ARIA: Adaptive Region-Based Importance Allocation for Conditional Diffusion Distillation,” evidence record 679, https://ethics.ai/record/679 (originally published by arXiv).
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