Representation Learning - Groups

GroupIM: A Mutual Information Maximization Framework for Neural Group Recomme...

We study the problem of making item recommendations to ephemeral groups, which comprise users who purchase very few (or no) items together.

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Multitask Representation Learning in Linear MDPs

The dataset is used for multitask representation learning in linear MDPs. It contains 80 different tasks, each with a different destination position, fire configuration, and...

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Prototypical Contrastive Learning

Self-supervised learning of pretext-invariant representations.

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Sprites

The Sprites dataset has 672 synthetically rendered animated characters (sprites). The dataset is split into a training set with 500, a validation set with 72, and a test set...

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Reachability Embeddings: Scalable Self-Supervised Representation Learning fro...

GPS trajectory dataset for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories

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SELF-LABELLING VIA SIMULTANEOUS CLUSTERING AND REPRESENTATION LEARNING

Combining clustering and representation learning is one of the most promising approaches for unsupervised learning of deep neural networks.

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SimpleQuestion dataset for Wikidata

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...

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7 datasets found