material ID: imagenet

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Authors: nan

Publication: TIPSTER (2014)

DOI: nan

We construct multi-modal concept repre- sentations by concatenating a skip-gram linguistic representation vector with a vi- sual concept representation vector com- puted using the feature extraction layers of a deep …...

34829

Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThanks to the wealth of high-quality annotated images available in popular repositories such as ImageNet, multimodal language-vision research is in full bloom. However, events, feelings and many other kinds of …...

37606

Keep Learning: Self-supervised Meta-learning for Learning from Inference

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Publication: TIPSTER (2021)

DOI: nan

AbstractA common approach in many machine learning algorithms involves self-supervised learning on large unlabeled data before fine-tuning on downstream tasks to further improve performance. A new approach for language modelling, …...

42908

Visually Grounded Reasoning across Languages and Cultures

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThe design of widespread vision-and-language datasets and pre-trained encoders directly adopts, or draws inspiration from, the concepts and images of ImageNet. While one can hardly overestimate how much this benchmark …...

30660