Multi-Label Learning - Groups

Bibtex

The dataset is used for multilabel learning tasks. It contains 7395 documents, each labeled with 159 relevant tickers.

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A Unified View of Multi-Label Performance Measures

Multi-label classification deals with the problem where each instance is associated with multiple class labels.

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Speedup matrix completion with side information: application to multi-label l...

The dataset used in this paper is a multi-label learning dataset, which is used to test the proposed algorithm for multi-label learning.

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Synthetic dataset for inﬁnite-label learning

The dataset used in the paper is a synthetic dataset for inﬁnite-label learning. It consists of 500 training data points and 1000 testing data points from a ﬁve-component...

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Yahoo

The Yahoo dataset used for training and testing the proposed model, containing leaked passwords.

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OpenImagesv5

OpenImagesv5: A large-scale dataset for multi-label image classification.

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OpenImages

Large-scale vision-and-language models trained on curated and web-scrapped data have led to significant improvements over task-specific models when transferred to downstream...

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7 datasets found