2020
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification
ICML 2020poster
Learning how to predict future events from patterns of past events is difficult when the set of possible event types is large. Training an unrestricted neural model might overfit to spurious patterns. To exploit domain-specific knowledge of how past events might affect an event’s present probability…