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CV4Code: Sourcecode Understanding via Visual Code Representations
We present CV4Code, a compact and effective computer vision method for sourcecode understanding.
Senatus -- A Fast and Accurate Code-to-Code Recommendation Engine
Senatus also outperforms standard MinHash LSH by 29. 2\% F1 and 51. 02\emph{x} faster query time.
SEERL: Sample Efficient Ensemble Reinforcement Learning
However, ensemble methods are relatively less popular in reinforcement learning owing to the high sample complexity and computational expense involved in obtaining a diverse ensemble.
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