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Found 3 papers, 3 papers with code
Data-Efficient Multimodal Fusion on a Single GPU
The goal of multimodal alignment is to learn a single latent space that is shared between multimodal inputs.
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
Comparing to 17 modern metrics for evaluating the overall performance, fidelity, diversity, rarity, and memorization of generative models, we find that the state-of-the-art perceptual realism of diffusion models as judged by humans is not reflected in commonly reported metrics such as FID.
Bayesian Nonparametrics for Offline Skill Discovery
Skills or low-level policies in reinforcement learning are temporally extended actions that can speed up learning and enable complex behaviours.
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