epicardium
发表于 2025-3-25 08:51:20
Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classificationelation features with information deficit caused by the scarcity of samples and lacking of significant distinguishing features. Existing methods ignore the latter problem. What’s worse, while there is a big difference between the source domain and the target domain, the generalization performance of
LATE
发表于 2025-3-25 14:28:05
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放大
发表于 2025-3-25 19:29:58
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装饰
发表于 2025-3-25 22:50:32
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争吵加
发表于 2025-3-26 02:11:07
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GLIB
发表于 2025-3-26 04:58:53
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Allure
发表于 2025-3-26 11:45:17
A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detectionl role in multi-relationship complex system analysis, thus gradually gaining popularity especially in the optimization algorithms. The multi-objective optimization (MOOP) methods attract attention owing to the flexibility in solving community detection problems. Nevertheless, most of the MOOP method
新娘
发表于 2025-3-26 15:24:16
Named Entity Recognition Based on Reinforcement Learning and Adversarial Trainingon for named entity recognition. Our model can not only reduce the influence of noise in generated data, but also find more informative instances for training. In the pre-training stage of the model, in order to make full use of the data generated by distant supervision, we use reinforcement learnin
NOCT
发表于 2025-3-26 19:18:29
Improved Partitioning Graph Embedding Framework for Small Clusterded parameters in large graphs, a single machine cannot load the entire graph into GPUs at once, so a partitioning strategy is required. However, there are some problems with partitioning strategies. Firstly, partitioning introduces data I/O and processing overhead, which increases training time, es
自由职业者
发表于 2025-3-26 23:50:34
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