13 datasets found

Chinese–Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information

Unsupervised domain generalization (UDG) aims to learn generalizable models with unlabeled data and analyze the effects of pre-training on DG.

The dataset used in the paper is a unsupervised video encoding task.

Behavioral annotation using signal processing and machine learning is highly dependent on training data and manual annotations of behavioral labels. The proposed framework...

This paper proposes the Davis 2017 validation set for video object segmentation.

The proposed approach is tested on English-German, English-French and Chinese-to-English translation tasks.

The dataset used in the paper is a large-scale dataset for unsupervised learning on diffusion-generated images.

Unsupervised image-to-image translation networks.

FashionMNIST and MNIST datasets are used for continual unsupervised learning with variational autoencoders and generative replay.

Transfer Learning is concerned with the application of knowledge gained from solving a problem to a different but related problem domain. In this paper, we propose a method and...

MultiShapeNet is a 3D dataset featuring scenes populated by 2-4 objects from the ShapeNetV2 dataset.

CLEVR-3D is a 3D version of the CLEVR dataset, featuring multiple viewpoints, camera positions, and depth information.

The MNIST dataset (Lecun et al., 1998), which consists of 60,000 gray-scale images of handwritten digits. Each image has an accompanying label in {0, 1,..., 9}, and is stored as...