Nearest Neighbour Score Estimators for Diffusion Generative Models.
Matthew NiedobaDylan GreenSaeid NaderipariziVasileios LioutasJonathan Wilder LavingtonXiaoxuan LiangYunpeng LiuKe ZhangSetareh DabiriAdam ScibiorBerend ZwartsenbergFrank WoodPublished in: CoRR (2024)
Keyphrases
- generative model
- nearest neighbour
- probabilistic model
- discriminative models
- knn
- hierarchical hidden markov models
- mixture model
- k nearest neighbor
- em algorithm
- euclidean distance
- discriminative learning
- prior knowledge
- generative and discriminative models
- decision trees
- conditional random fields
- semi supervised
- rough sets
- training set
- object categories
- machine learning
- semi supervised learning
- neural network
- maximum likelihood
- nearest neighbor
- information extraction
- active learning
- support vector