Tag
DiffImaginE is a research paper proposing a diffusion-based verifier for multimodal named entity recognition, replacing deterministic imagination with conditional latent diffusion inference for more robust entity type verification.
PixelCNN++ introduces several architectural improvements to PixelCNN including discretized logistic mixture likelihood, downsampling, and shortcut connections, achieving state-of-the-art log likelihood results on CIFAR-10.