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Found 4 papers, 2 papers with code
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER
Prompt-based language models have produced encouraging results in numerous applications, including Named Entity Recognition (NER) tasks.
DeepAqua: Self-Supervised Semantic Segmentation of Wetland Surface Water Extent with SAR Images using Knowledge Distillation
Deep learning and remote sensing techniques have significantly advanced water monitoring abilities; however, the need for annotated data remains a challenge.
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement
In particular, we empirically study how different graph traversal order leads to different device placement, which in turn affects the training execution time.
Siamese Neural Networks for Detecting Complementary Products
Recommender systems play an important role in e-commerce websites as they improve the customer journey by helping the users find what they want at the right moment.
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