17 datasets found

A dataset of videos of Barack Obama synthesized using a recurrent neural network.

The dataset is a longitudinal time-stamped EHR data from 260K patients over 8 years. Encounter records (e.g. diagnosis codes, medication codes or procedure codes) were input to...

Dialogue state tracking using recurrent neural networks (RNN) on the standard dialogue state tracking (DST) dataset, DSTC2

The Character Level Penn Treebank dataset is a benchmark for evaluating the ability of RNNs to model language.

The bAbI Question Answering dataset is a benchmark for evaluating the ability of RNNs to answer questions.

The Associative Recall Task is a benchmark for evaluating the ability of RNNs to recall information from memory.

The dataset used in the paper is the copying memory task, which consists in remembering a sequence of letters from some alphabet A = {ak}N k=1.

The Rotational Unit of Memory (RUM) is a novel RNN architecture that combines unitary evolution matrices and associative memory to improve long-term memory capabilities.

A dataset used for training a recurrent neural network (RNN) to infer positional uncertainties for a model predictive control (MPC) algorithm.

The dataset used in this paper is a collection of phonetically and phonologically local allophonic distribution in English, where voiceless stops surface as aspirated...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used various tasks such as Associative Retrieval Task, Maze Exploration, Atari...

The dataset used in this paper is a recurrent neural network with one hidden layer. The structure of the network is shown in Fig. 1. The input-output relation of the network is...

A dataset of Electronic Health Records (EHR) and Ecological Momentary Assessment (EMA) data used to predict suicidal ideation.

The dataset is used for classification of red cell dynamics with convolutional and recurrent neural networks.

Real data recorded from the primary somatosensory cortex of macaques.

Synthetic data generated from a synthetic (teacher) RNN with random parameters. The data is recorded from the primary somatosensory cortex of macaques.

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting