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Found 5 papers, 3 papers with code
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection
Respectively, for subtask 1, that is, to judge whether a sentence is PCL, the method of retraining the model with specific task data is adopted, and the method of splicing [CLS] and the keyword representation of the last three layers as the representation of the sentence; for subtask 2, that is, to judge the PCL type of the sentence, in addition to using the same method as task1, the method of selecting a special loss for Multi-label text classification is applied.
Multi Label Text Classification
Multi-Label Text Classification
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A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
Spatial-temporal data modeling aims to mine the underlying spatial relationships and temporal dependencies of objects in a system.
EnsembleMOT: A Step towards Ensemble Learning of Multiple Object Tracking
Multiple Object Tracking (MOT) has rapidly progressed in recent years.
Continuous-Time User Preference Modelling for Temporal Sets Prediction
Previous studies for temporal sets prediction mainly focus on the modelling of elements and implicitly represent each user's preference based on his/her interacted elements.
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
In this paper, a novel geometry-aware semi-supervised learning framework is proposed for medical image segmentation, which is a consistency-based method.
