most citedTaming the Long Tail of Deep Probabilistic Forecasting

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 6 cited

Taming the Long Tail of Deep Probabilistic Forecasting

Jedrzej Kozerawski, Mayank Sharan, Rose Yu

Deep probabilistic forecasting is gaining attention in numerous applications ranging from weather prognosis, through electricity consumption estimation, to autonomous vehicle traje…

cs.CV2021

One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification

Jedrzej Kozerawski, Matthew Turk

Real-world classification tasks are frequently required to work in an open-set setting. This is especially challenging for few-shot learning problems due to the small sample size f…