7 datasets found

Convolutional architectures have recently been shown to be competitive on many sequence modeling tasks when compared to the de-facto standard of recurrent neural networks...

The Long Range Arena dataset consists of 6 tasks with lengths 1K-16K steps encompassing modalities and objectives that require similarity, structural, and visuospatial reasoning.

The dataset is used to evaluate the performance of the Linear Additive Markov Process (LAMP) on real-world sequences.

The proposed method is evaluated on a toy example problem of sequence counting followed by MNIST classification problem.

The proposed model combines recurrent user history representation with a mixture density network, where a novel attention-based recurrent mixture density has been proposed to...

The dataset used in the paper for semi-supervised sequence modeling with cross-view training.

The dataset used in this paper is the Long Range Arena (LRA) benchmark for efficient sequence models, which contains 6 tasks with lengths 1K-16K steps, encompassing modalities and...