Boris N. Oreshkin

Publications

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio. At International Conference on Learning Representations (ICLR), 2020.

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Adaptive Cross-Modal Few-shot Learning. Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro. At Conference on Neural Information Processing Systems (NeurIPS), 2019.

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Adaptive Masked Proxies for Few-Shot Segmentation. Mennatullah Siam, Boris N. Oreshkin, Martin Jagersand. At International Conference on Computer Vision (ICCV), 2019.

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Adaptive Cross-Modal Few-shot Learning. Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro. At Workshop at the International Conference on Learning Representations (ICLR), 2019.

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Adaptive Masked Weight Imprinting for Few-Shot Segmentation. Mennatullah Siam, Boris N. Oreshkin. At Workshop at the International Conference on Learning Representations (ICLR), 2019.

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Meta-Learning Framework with Applications to Zero-Shot Time Series Forecasting. Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio. At International Conference on Learning Representations (ICLR), 2019.

TADAM: Task dependent adaptive metric for improved few-shot learning. Boris N. Oreshkin, Pau Rodriguez, Alexandre Lacoste. At Conference on Neural Information Processing Systems (NeurIPS), 2018.

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Deep Prior. Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh, Boris N. Oreshkin, Wonchang Chung, David Krueger. At Workshop at the Neural Information Processing Systems (NeurIPS), 2017.