14 datasets found

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

Self-supervised adversarial masking for 3D point cloud representation learning

The dataset used in the paper for vision-and-language representation learning.

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...

The LeBenchmark7K dataset is a self-supervised representation of French speech.

Peptides are formed by the dehydration condensation of multiple amino acids. The primary structure of a peptide can be represented either as an amino acid sequence or as a...

The dataset used in the paper is a real-world dataset for sentiment analysis.

Mobile crowdsensing has gained significant attention in recent years and has become a critical paradigm for emerging Internet of Things applications. The sensing devices...

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...

Heterogeneous graph convolution approach for learning node representation on heterogeneous graphs with a hybrid micro/macro level convolutional operation.

Diffusion Models are popular generative modeling methods in various vision tasks, attracting significant attention. They can be considered a unique instance of self-supervised...

The dataset used in the paper is a synthetic dataset for unsupervised representation learning.

MixGen: a joint data augmentation for vision-language representation learning to further improve data efficiency.

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