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An Analysis of Human Alignment of Latent Diffusion Models
Diffusion models, trained on large amounts of data, showed remarkable performance for image synthesis.
Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation
This paper introduces a novel technique called counterfactual knowledge distillation (CFKD) to detect and remove reliance on confounders in deep learning models with the help of human expert feedback.
Cycle-Consistent World Models for Domain Independent Latent Imagination
Our experiments using different modalities in the CARLA simulator showed that this enables CCWM to outperform state-of-the-art domain adaptation approaches.
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