A diffusion model for video generation extends image architectures with joint image-video training and improved conditional sampling, delivering first large-scale text-to-video results and state-of-the-art performance on video prediction and unconditional generation benchmarks.
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The paper introduces the Discourse Relation Dialogue Model as a computational theory for Alexa Prize dialogue, implemented in SlugBot using the newly created UniSlug ontology.
The paper formalizes query answering with soft constraints on knowledge graphs and introduces two lightweight methods (parameter tuning or small neural network) to incorporate them while preserving original rankings.
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Video Diffusion Models
A diffusion model for video generation extends image architectures with joint image-video training and improved conditional sampling, delivering first large-scale text-to-video results and state-of-the-art performance on video prediction and unconditional generation benchmarks.
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SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre
The paper introduces the Discourse Relation Dialogue Model as a computational theory for Alexa Prize dialogue, implemented in SlugBot using the newly created UniSlug ontology.
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Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
The paper formalizes query answering with soft constraints on knowledge graphs and introduces two lightweight methods (parameter tuning or small neural network) to incorporate them while preserving original rankings.