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Time Series

398 papers with code · Time Series

Time series deals with sequential data where the data is indexed (ordered) by a time dimension.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

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Greatest papers with code

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

19 Dec 2019google-research/google-research

Multi-horizon forecasting problems often contain a complex mix of inputs -- including static (i. e. time-invariant) covariates, known future inputs, and other exogenous time series that are only observed historically -- without any prior information on how they interact with the target.

INTERPRETABLE MACHINE LEARNING TIME SERIES TIME SERIES FORECASTING

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

7 Oct 2016pytorch/fairseq

We observe that our method consistently outperforms BS and previously proposed techniques for diverse decoding from neural sequence models.

IMAGE CAPTIONING MACHINE TRANSLATION QUESTION GENERATION TEXT GENERATION TIME SERIES

Distributed and parallel time series feature extraction for industrial big data applications

25 Oct 2016blue-yonder/tsfresh

This problem is especially hard to solve for time series classification and regression in industrial applications such as predictive maintenance or production line optimization, for which each label or regression target is associated with several time series and meta-information simultaneously.

FEATURE IMPORTANCE FEATURE SELECTION TIME SERIES TIME SERIES CLASSIFICATION

Adversarial Robustness Toolbox v1.0.0

3 Jul 2018IBM/adversarial-robustness-toolbox

Defending Machine Learning models involves certifying and verifying model robustness and model hardening with approaches such as pre-processing inputs, augmenting training data with adversarial samples, and leveraging runtime detection methods to flag any inputs that might have been modified by an adversary.

GAUSSIAN PROCESSES TIME SERIES

GluonTS: Probabilistic Time Series Models in Python

12 Jun 2019awslabs/gluon-ts

We introduce Gluon Time Series (GluonTS, available at https://gluon-ts. mxnet. io), a library for deep-learning-based time series modeling.

ANOMALY DETECTION TIME SERIES TIME SERIES FORECASTING TIME SERIES PREDICTION

Unsupervised real-time anomaly detection for streaming data

Neurocomputing 2017 numenta/NAB

We present results and analysis for a wide range of algorithms on this benchmark, and discuss future challenges for the emerging field of streaming analytics.

ANOMALY DETECTION TIME SERIES

Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark

12 Oct 2015numenta/NAB

Here we propose the Numenta Anomaly Benchmark (NAB), which attempts to provide a controlled and repeatable environment of open-source tools to test and measure anomaly detection algorithms on streaming data.

ANOMALY DETECTION TIME SERIES

Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices

NeurIPS 2019 Microsoft/EdgeML

The second layer consumes the output of the first layer using a second RNN thus capturing long dependencies.

TIME SERIES TIME SERIES CLASSIFICATION

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

NeurIPS 2018 Microsoft/EdgeML

FastRNN addresses these limitations by adding a residual connection that does not constrain the range of the singular values explicitly and has only two extra scalar parameters.

ACTION CLASSIFICATION LANGUAGE MODELLING SPEECH RECOGNITION TIME SERIES TIME SERIES CLASSIFICATION