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Found 3 papers, 2 papers with code
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
Most few-shot learning works rely on the same domain assumption between the base and the target tasks, hindering their practical applications.
Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base
Therefore, an automatic approach for learning the semantics of a data source is desirable.
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions
In recent years the possibility of relaxing the so-called Faithfulness assumption in automated causal discovery has been investigated.
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