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08/02/2023
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
We introduce OpenFlamingo, a family of autoregressive vision-language mo...
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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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10/28/2022
Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning
In this paper, deep learning (DL) methods are evaluated in the context o...
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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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11/03/2021
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Multi-modal language-vision models trained on hundreds of millions of im...
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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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03/27/2021
Generalization over different cellular automata rules learned by a deep feed-forward neural network
To test generalization ability of a class of deep neural networks, we ra...
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04/01/2020
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning
The Obstacle Tower Challenge is the task to master a procedurally genera...
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11/26/2019