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Found 3 papers, 1 papers with code
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
Recent advancements in image generation have enabled the creation of high-quality images from text conditions.
You Only Need Half: Boosting Data Augmentation by Using Partial Content
We propose a novel data augmentation method termed You Only Need hAlf (YONA), which simplifies the augmentation process.
Regularized Conditional Alignment for Multi-Domain Text Classification
The most successful multi-domain text classification (MDTC) approaches employ the shared-private paradigm to facilitate the enhancement of domain-invariant features through domain-specific attributes.
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