3 citations · 8 across the 12 of their papers we have counts for
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cs.SD2023★ 3 cited
Ms-senet: Enhancing Speech Emotion Recognition Through Multi-scale Feature Fusion With Squeeze-and-excitation Blocks
Mengbo Li, Yuanzhong Zheng, Dichucheng Li +3
Speech Emotion Recognition (SER) has become a growing focus of research in human-computer interaction. Spatiotemporal features play a crucial role in SER, yet current research lack…
cs.CL2023★ 2 cited
Mao-Zedong At SemEval-2023 Task 4: Label Represention Multi-Head Attention Model With Contrastive Learning-Enhanced Nearest Neighbor Mechanism For Multi-Label Text Classification
Che Zhang, Ping'an Liu, Zhenyang Xiao +1
The study of human values is essential in both practical and theoretical domains. With the development of computational linguistics, the creation of large-scale datasets has made i…
cs.LG2023★ 2 cited
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning
Xiaochuan Zhang, Mengran Li, Ye Wang +1
Attribute graphs are ubiquitous in multimedia applications, and graph representation learning (GRL) has been successful in analyzing attribute graph data. However, incomplete graph…