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Found 4 papers, 2 papers with code
Semantic Role Labeling Guided Out-of-distribution Detection
Identifying unexpected domain-shifted instances in natural language processing is crucial in real-world applications.
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation
In this paper, we revisit the idea of using image reconstruction as the auxiliary task and incorporate it with a modern semi-supervised semantic segmentation framework.
Stock Market Prediction via Deep Learning Techniques: A Survey
Existing surveys on stock market prediction often focus on traditional machine learning methods instead of deep learning methods.
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
In addition, we propose a self-supervised learning strategy based on SRLP to enhance the out-of-distribution generalization performance of our system.
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