3 papers
cs.CV2026
Cross-Resolution Distribution Matching for Diffusion Distillation
Feiyang Chen, Hongpeng Pan, Haonan Xu +3
Diffusion distillation is central to accelerating image and video generation, yet existing methods are fundamentally limited by the denoising process, where step reduction has larg…
cs.LG2026
Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
Haonan Xu, Yang Yang
Out-of-distribution (OOD) detection is a well-known challenge due to deep models often producing overconfident. In this paper, we reveal a key insight that trained classifiers tend…
cs.CV2024
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
Haonan Xu, Yang Yang
Out-of-distribution (OOD) detection is crucial for ensuring the reliable deployment of deep models in real-world scenarios. Recently, from the perspective of over-parameterization,…