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04/27/2023
DataComp: In search of the next generation of multimodal datasets
Large multimodal datasets have been instrumental in recent breakthroughs...
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04/14/2023
A Comparative Study on Generative Models for High Resolution Solar Observation Imaging
Solar activity is one of the main drivers of variability in our solar sy...
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12/14/2022
Reproducible scaling laws for contrastive language-image learning
Scaling up neural networks has led to remarkable performance across a wi...
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10/16/2022
LAION-5B: An open large-scale dataset for training next generation image-text models
Groundbreaking language-vision architectures like CLIP and DALL-E proved...
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05/31/2021
Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images
Transfer learning aims to exploit pre-trained models for more efficient ...
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10/03/2018
