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Showing 2019 · cs.LGShow all
3 papers · 2 filters
cs.LG2019★ 2 cited
You May Not Need Order in Time Series Forecasting
Yunkai Zhang, Qiao Jiang, Shurui Li +3
Time series forecasting with limited data is a challenging yet critical task. While transformers have achieved outstanding performances in time series forecasting, they often requi…
cs.LG2019★ 1 cited
Optimal Transport-based Alignment of Learned Character Representations for String Similarity
Derek Tam, Nicholas Monath, Ari Kobren +3
String similarity models are vital for record linkage, entity resolution, and search. In this work, we present STANCE --a learned model for computing the similarity of two strings.…
cs.LG2019
ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback
Jacob Beck, Zoe Papakipos, Michael Littman
In autonomous vehicle (AV) control, allowing mistakes can be quite dangerous and costly in the real world. For this reason we investigate methods of training an AV without allowing…