Boris N. Oreshkin

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting

Cristian Challú, Kin G. Olivares, Boris N. Oreshkin et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2023 · 409 citations · Full text

Forecasting Methodology, Hierarchical Interpolation Technique, Machine Learning +10

AMP: Adaptive Masked Proxies for Few-Shot Segmentation

Mennatullah Siam, Boris N. Oreshkin, Martin Jägersand · 2019 · 204 citations

Few-shot Learning, Convolutional Neural Network, Image Analysis +13

TADAM: Task dependent adaptive metric for improved few-shot learning

Boris N. Oreshkin, Pau Rodríguez, Alexandre Lacoste · arXiv (Cornell University) · 2018 · 199 citations · Full text

Few-shot Learning, Machine Vision, Machine Learning +13

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados et al. · arXiv (Cornell University) · 2019 · 160 citations · Full text

Forecasting Methodology, Convolutional Neural Network, Deep Neural Networks +15

Machine learning approaches to network anomaly detection

Tarem Ahmed, Boris N. Oreshkin, Mark Coates · USENIX workshop on Tackling computer systems problems with machine learning techniques · 2007 · 131 citations