12 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Variational quantization for state space models
Etienne David, Jean Bellot, Sylvain Le Corff
Forecasting tasks using large datasets gathering thousands of heterogeneous time series is a crucial statistical problem in numerous sectors. The main challenge is to model a rich…
cs.LG2021★ 12 cited
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa, Pang Wei Koh, Tony Lee +17
Machine learning systems deployed in the wild are often trained on a source distribution but deployed on a different target distribution. Unlabeled data can be a powerful point of…