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Found 3 papers, 2 papers with code
What If Ground Truth Is Subjective? Personalized Deep Neural Hate Speech Detection
This supports our overall observation that personalized models should always be considered in all subjective NLP tasks, including hate speech detection.
Continual learning on 3D point clouds with random compressed rehearsal
By using rehearsal and reconstruction as regularization methods of the learning process, our approach achieves a significant decrease of catastrophic forgetting compared to the existing solutions on several most popular point cloud datasets considering two continual learning settings: when a task is known beforehand, and in the challenging scenario of when task information is unknown to the model.
HyperShot: Few-Shot Learning by Kernel HyperNetworks
Few-shot models aim at making predictions using a minimal number of labeled examples from a given task.
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