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Deep Learning based Forecasting: a case study from the online fashion
  industry

Deep Learning based Forecasting: a case study from the online fashion industry

23 May 2023
Manuel Kunz
Stefan Birr
Mones Raslan
L. Ma
Zhuguo Li
Adele Gouttes
Mateusz Koren
T. Naghibi
Johannes Stephan
M. Bulycheva
Matthias Grzeschik
Armin Kekić
Michael Narodovitch
Kashif Rasul
Julian Sieber
Tim Januschowski
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Papers citing "Deep Learning based Forecasting: a case study from the online fashion industry"

4 / 4 papers shown
Title
FreDo: Frequency Domain-based Long-Term Time Series Forecasting
FreDo: Frequency Domain-based Long-Term Time Series Forecasting
Fan-Keng Sun
Duane S. Boning
AI4TS
45
10
0
24 May 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
164
3,799
0
14 Dec 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
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