discriminative models
Discriminative models are a type of machine learning architecture that estimate the conditional probability of output variables given input data, focusing on modeling the decision boundary between classes rather than the input distribution.
- Can We Infer Confidential Properties of Training Data from LLMs?
- Conditional Diffusion Anomaly Modeling on Graphs
- Diffusion Classifiers Understand Compositionality, but Conditions Apply
- Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes
- PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
- un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP