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Found 3 papers, 1 papers with code
KFWC: A Knowledge-Driven Deep Learning Model for Fine-grained Classification of Wet-AMD
With the introduction of a priori knowledge of 10 lesion signs of input images into the KFWC, we aim to accelerate the KFWC by means of multi-label classification pre-training, to locate the decisive image features in the fine-grained disease classification task and therefore achieve better classification.
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion
Since RTFE learns each timestamp recursively, it can naturally transit to future timestamps.
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
The joint model for the two tasks is becoming a tendency in SLU.
Ranked #5 on
Intent Detection
on SNIPS
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