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Found 8 papers, 1 papers with code
DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction
Specifically, DRK adopts a logic-aware inference module to ease the word-overlap confusion, which introduces a logic rule to constrain the inference process, thereby avoiding the adverse effect of shallow text features.
IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer
The first module, an interpretable dense registration module, establishes a Vision Transformer (ViT)-based Siamese Network to capture long-range dependencies and the global context in fingerprint pairs.
LLM Agents for Psychology: A Study on Gamified Assessments
Psychological measurement is essential for mental health, self-understanding, and personal development.
Multiresolution Feature Guidance Based Transformer for Anomaly Detection
Under the tacit knowledge guidance of the AGN, the anomaly detection network named Trans utilizes Transformer to effectively establish a relationship between features with multiresolution, enhancing the ability of the Trans in fitting the normal data manifold.
Heterogeneous Graph Neural Networks to Predict What Happen Next
Existing work cannot well represent the heterogeneous relations and capture the discontinuous event segments that are common in the event chain.
Star Graph Neural Networks for Session-based Recommendation
The proposed SGNN-HN applies a star graph neural network (SGNN) to model the complex transition relationship between items in an ongoing session.
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Session-Based Recommendations
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Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification
We introduce the concept of interaction and propose a two-perspective interaction representation, that encapsulates a local and a global interaction representation.
Joint Neural Collaborative Filtering for Recommender Systems
Deep feature learning extracts feature representations of users and items with a deep learning architecture based on a user-item rating matrix.
