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Found 5 papers, 0 papers with code
WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition
The model first trains the sentence pairs in the text, calculate similarity between sentence pairs, and fine-tunes BERT used for the named entity recognition task according to the similarity, so as to alleviate word ambiguity.
Interpretable Encrypted Searchable Neural Networks
In cloud security, traditional searchable encryption (SE) requires high computation and communication overhead for dynamic search and update.
Multi-owner Secure Encrypted Search Using Searching Adversarial Networks
To address this, this paper proposes secure and efficient multi-keyword ranked search over encrypted cloud data for multi-owner model based on searching adversarial networks.
Gait Recognition via Disentangled Representation Learning
Most of the existing gait recognition methods take silhouettes or articulated body models as the gait features.
Autonomous Quadrotor Landing using Deep Reinforcement Learning
Landing an unmanned aerial vehicle (UAV) on a ground marker is an open problem despite the effort of the research community.
