✨ Can we detect style in the generated images? Our recent work takes a step towards understanding this question. We train a style-focused vision feature extractor built on top of CLIP, which we call a Contrastive Style Descriptior (CSD).

paper: arxiv.org/abs/2404.01292

Style…

Measuring Style Similarity in Diffusion Models

Generative models are now widely used by graphic designers and artists. Prior works have shown that these models remember and often replicate content from their training data during generation. Hence as their proliferation

We're excited to introduce TuneTables, a new deep learning tabular data classification method. Without hyperparameter optimization, TuneTables is comparable to any single optimized gradient boosted method, on datasets with up to 1.9 Mn samples, 22 classes, and 7200 features. 1/6