David, Etienne

4 publications

ICCVW 2023 A New Large Dataset and a Transfer Learning Methodology for Plant Phenotyping in Vertical Farms Nico Samà, Etienne David, Simone Rossetti, Alessandro Antona, Benjamin Franchetti, Fiora Pirri

TMLR 2023 HERMES: Hybrid Error-Corrector Model with Inclusion of External Signals for Nonstationary Fashion Time Series Etienne David, Jean Bellot, Sylvain Le Corff

ICLR 2022 Extending the WILDS Benchmark for Unsupervised Adaptation 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

NeurIPSW 2021 Extending the WILDS Benchmark for Unsupervised Adaptation 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