conftrace_

Dmitri Carpov

2 papers · 2020–2021 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

AAAI (1) ICLR (1)

Top co-authors

Nicolas Chapados (2) Boris N. Oreshkin (2) Yoshua Bengio (2)

Research topics

Deep Learning (2) Machine Learning (2) Data Science & Analytics (1) Architectures (1) Core Methods (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Methods (1)

Keywords

time series forecasting (2) deep learning (1) time series (1) task adaptation (1) residual network (1) residual connection (1) meta-learning framework (1) neural network (1) zero-shot forecasting (1) neural basis expansion (1) interpretable forecasting (1) zero-shot learning (1) univariate time series (1)

Papers

Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting AAAI 2021 N-BEATS: Neural basis expansion analysis for interpretable time series forecasting ICLR 2020