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Found 2 papers, 1 papers with code
Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal
To address MH-QA specifically, we propose a Deep Reinforcement Learning based method capable of learning sequential reasoning across large collections of documents so as to pass a query-aware, fixed-size context subset to existing models for answer extraction.
Automatic Malware Description via Attribute Tagging and Similarity Embedding
With the rapid proliferation and increased sophistication of malicious software (malware), detection methods no longer rely only on manually generated signatures but have also incorporated more general approaches like machine learning detection.
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