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Found 4 papers, 1 papers with code
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition
In this study, based on the knowledge distillation framework and multi-task learning, we introduce the similarity metric model as an auxiliary task to improve the cross-lingual NER performance on the target domain.
A novel Multi to Single Module for small object detection
The performance of small object detectors is often compromised by a lack of pixels and less significant features.
Deep Contrastive One-Class Time Series Anomaly Detection
To overcome the shortcomings, a deep Contrastive One-Class Anomaly detection method of time series (COCA) is proposed by authors, following the normality assumptions of CL and one-class classification.
Robust Regularization with Adversarial Labelling of Perturbed Samples
The ALPS regularization objective is formulated as a min-max problem, in which the outer problem is minimizing an upper-bound of the VRM loss, and the inner problem is L$_1$-ball constrained adversarial labelling on perturbed sample.
