NEURIPS 2025 "training-free methods" Papers
6 papers found
Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
Dipam Goswami, Simone Magistri, Kai Wang et al.
NEURIPS 2025posterarXiv:2412.14326
HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Jiazi Bu, Pengyang Ling, Yujie Zhou et al.
NEURIPS 2025posterarXiv:2504.06232
7
citations
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
Ignacio Meza De la Jara, Cristian Rodriguez-Opazo, Damien Teney et al.
NEURIPS 2025posterarXiv:2510.05782
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
Sungho Koh, SeungJu Cha, Hyunwoo Oh et al.
NEURIPS 2025posterarXiv:2510.25818
VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree
Wenlong Li, Yifei Xu, Yuan Rao et al.
NEURIPS 2025oralarXiv:2510.22693
1
citations
ZeroPatcher: Training-free Sampler for Video Inpainting and Editing
Shaoshu Yang, Yingya Zhang, Ran He
NEURIPS 2025poster