Search Results for author: Etienne David

Found 5 papers, 2 papers with code

HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series

1 code implementation7 Feb 2022 Etienne David, Jean Bellot, Sylvain Le Corff

This hybrid model provides state-of-the-art results on the proposed fashion dataset, on the weekly time series of the M4 competition, and illustrates the benefit of the contribution of external weak signals.

Causal Inference Time Series +1

Extending the WILDS Benchmark for Unsupervised Adaptation

no code implementations ICLR 2022 Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang

Unlabeled data can be a powerful point of leverage for mitigating these distribution shifts, as it is frequently much more available than labeled data and can often be obtained from distributions beyond the source distribution as well.

Global Wheat Challenge 2020: Analysis of the competition design and winning models

no code implementations13 May 2021 Etienne David, Franklin Ogidi, Wei Guo, Frederic Baret, Ian Stavness

Data competitions have become a popular approach to crowdsource new data analysis methods for general and specialized data science problems.

Data Augmentation Head Detection

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