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Found 3 papers, 1 papers with code
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
Adversarial training methods commonly generate independent initial perturbation for adversarial samples from a simple uniform distribution, and obtain the training batch for the classifier without selection.
Entity-centered Cross-document Relation Extraction
First, we focus on input construction for our RE model and propose an entity-based document-context filter to retain useful information in the given documents by using the bridge entities in the text paths.
CSSAM:Code Search via Attention Matching of Code Semantics and Structures
By leveraging the residual interaction, a matching module is designed to preserve more code semantics and descriptive features, that enhances the adhesion between the code and its corresponding query text.
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