Text embedding models can be great data engineers | Paper Citation Record

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This paper cites Information dropout: Learning optimal representations through noisy computation.

Text embedding models can be great data engineers Information dropout: Learning optimal representations through noisy computation

Reference 1

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This paper cites Deep Variational Information Bottleneck.

Text embedding models can be great data engineers Deep Variational Information Bottleneck

Reference 2

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This paper cites A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges.Sensors, 23(9):4178, 2023.

Text embedding models can be great data engineers A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges.Sensors, 23(9):4178, 2023

Reference 3

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This paper cites TSFEL: Time series feature extraction library.

Text embedding models can be great data engineers TSFEL: Time series feature extraction library

Reference 4

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This paper cites TSFEL: Time series feature extraction library.

Text embedding models can be great data engineers TSFEL: Time series feature extraction library

Reference 5

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This paper cites Financial time series forecasting-a deep learning approach.

Text embedding models can be great data engineers Financial time series forecasting-a deep learning approach

Reference 6

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This paper cites Information transmission with additional noise.

Text embedding models can be great data engineers Information transmission with additional noise

Reference 7

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This paper cites Systematic literature review of preprocessing techniques for imbalanced data.

Text embedding models can be great data engineers Systematic literature review of preprocessing techniques for imbalanced data

Reference 8

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This paper cites Springenberg, Manuel Blum, and Frank Hutter.

Text embedding models can be great data engineers Springenberg, Manuel Blum, and Frank Hutter

Reference 9

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This paper cites Transient classifiers for fink-benchmarks for lsst.

Text embedding models can be great data engineers Transient classifiers for fink-benchmarks for lsst

Reference 10

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This paper cites The information bottleneck problem and its applications in machine learning.

Text embedding models can be great data engineers The information bottleneck problem and its applications in machine learning

Reference 11

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This paper cites Audioclip: Extending clip to image, text and audio.

Text embedding models can be great data engineers Audioclip: Extending clip to image, text and audio

Reference 12

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This paper cites Distributional structure.

Text embedding models can be great data engineers Distributional structure

Reference 13

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This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework.

Text embedding models can be great data engineers beta-vae: Learning basic visual concepts with a constrained variational framework

Reference 14

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This paper cites A survey of outlier detection methodologies.

Text embedding models can be great data engineers A survey of outlier detection methodologies

Reference 15

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This paper cites A framework for extracting urban functional regions based on multiprototype word embeddings using points-of- interest data.

Text embedding models can be great data engineers A framework for extracting urban functional regions based on multiprototype word embeddings using points-of- interest data

Reference 16

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This paper cites Multilevel temporal-spectral fusion network for multivariate time series classification.

Text embedding models can be great data engineers Multilevel temporal-spectral fusion network for multivariate time series classification

Reference 17

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This paper cites HRI Dataset.

Text embedding models can be great data engineers HRI Dataset

Reference 18

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This paper cites Large-scale representation learning from visually grounded untranscribed speech.

Text embedding models can be great data engineers Large-scale representation learning from visually grounded untranscribed speech

Reference 19

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This paper cites Autokeras: An automl library for deep learning.

Text embedding models can be great data engineers Autokeras: An automl library for deep learning

Reference 20

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This paper cites Dimensionality reduction for fast similarity search in large time series databases.

Text embedding models can be great data engineers Dimensionality reduction for fast similarity search in large time series databases

Reference 21

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This paper cites Representation learning of clinical multivariate time series with random filter banks.

Text embedding models can be great data engineers Representation learning of clinical multivariate time series with random filter banks

Reference 22

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This paper cites Time series classification of cryptocurrency price trend based on a recurrent lstm neural network.

Text embedding models can be great data engineers Time series classification of cryptocurrency price trend based on a recurrent lstm neural network

Reference 23

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This paper cites H2o automl: Scalable automatic machine learning.

Text embedding models can be great data engineers H2o automl: Scalable automatic machine learning

Reference 24

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This paper cites Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median.

Text embedding models can be great data engineers Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

Reference 25

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This paper cites Feature selection: A data perspective.

Text embedding models can be great data engineers Feature selection: A data perspective

Reference 26

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This paper cites Missing value imputation: a review and analysis of the literature (2006–2017).

Text embedding models can be great data engineers Missing value imputation: a review and analysis of the literature (2006–2017)

Reference 27

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This paper cites Cubic spline interpolation.

Text embedding models can be great data engineers Cubic spline interpolation

Reference 28

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This paper cites Howto100m: Learning a text-video embedding by watching hundred million narrated video clips.

Text embedding models can be great data engineers Howto100m: Learning a text-video embedding by watching hundred million narrated video clips

Reference 29

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This paper cites Enhanced bitcoin price direction forecasting with dqn.

Text embedding models can be great data engineers Enhanced bitcoin price direction forecasting with dqn

Reference 30

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This paper cites Unsupervised embedding of trajectories captures the latent structure of scientific migration.

Text embedding models can be great data engineers Unsupervised embedding of trajectories captures the latent structure of scientific migration

Reference 31

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This paper cites Delineating urban functional use from points of interest data with neural network embedding: A case study in greater london.

Text embedding models can be great data engineers Delineating urban functional use from points of interest data with neural network embedding: A case study in greater london

Reference 32

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This paper cites AMPEL workflows for LSST: Modular and reproducible real-time photometric classification.

Text embedding models can be great data engineers AMPEL workflows for LSST: Modular and reproducible real-time photometric classification

Reference 33

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Text embedding models can be great data engineers Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 34

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This paper cites Olson, Nathan Bartley, Ryan J.

Text embedding models can be great data engineers Olson, Nathan Bartley, Ryan J

Reference 35

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This paper cites text-embedding-3-small.

Text embedding models can be great data engineers text-embedding-3-small

Reference 36

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This paper cites Tsem: Temporally-weighted spatiotemporal explainable neural network for multivariate time series.

Text embedding models can be great data engineers Tsem: Temporally-weighted spatiotemporal explainable neural network for multivariate time series

Reference 37

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This paper cites Convolutional neural net- work fault classification based on time-series analysis for benchmark wind turbine machine.

Text embedding models can be great data engineers Convolutional neural net- work fault classification based on time-series analysis for benchmark wind turbine machine

Reference 38

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This paper cites Modelling data pipelines.

Text embedding models can be great data engineers Modelling data pipelines

Reference 39

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This paper cites Time-series cryptocurrency forecasting using ensemble deep learning.

Text embedding models can be great data engineers Time-series cryptocurrency forecasting using ensemble deep learning

Reference 40

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This paper cites Word embeddings for the analysis of ideological placement in parliamentary corpora.

Text embedding models can be great data engineers Word embeddings for the analysis of ideological placement in parliamentary corpora

Reference 41

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This paper cites Predicting high-level human judgment across diverse behavioral domains.

Text embedding models can be great data engineers Predicting high-level human judgment across diverse behavioral domains

Reference 42

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This paper cites Gaussian processes for time-series modelling.

Text embedding models can be great data engineers Gaussian processes for time-series modelling

Reference 43

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This paper cites Automl: A systematic review on automated machine learning with neural architecture search.

Text embedding models can be great data engineers Automl: A systematic review on automated machine learning with neural architecture search

Reference 44

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This paper cites Oracle: A real-time, hierarchical, deep-learning photometric classifier for the lsst.

Text embedding models can be great data engineers Oracle: A real-time, hierarchical, deep-learning photometric classifier for the lsst

Reference 45

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This paper cites Videobert: A joint model for video and language representation learning.

Text embedding models can be great data engineers Videobert: A joint model for video and language representation learning

Reference 46

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This paper cites Survey: Time-series data preprocessing: A survey and an empirical analysis.

Text embedding models can be great data engineers Survey: Time-series data preprocessing: A survey and an empirical analysis

Reference 47

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This paper cites up”) or decrease (“down.

Text embedding models can be great data engineers up”) or decrease (“down

Reference 48

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Text embedding models can be great data engineers Unresolved cited work

Reference 49

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Text embedding models can be great data engineers Unresolved cited work

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This paper cites negativity.

Text embedding models can be great data engineers negativity

Reference 51

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This paper cites Table 5: Per-class performance on the HRI dataset.

Text embedding models can be great data engineers Table 5: Per-class performance on the HRI dataset

Reference 7009

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