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RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining
Large-scale pretrained language models have achieved SOTA results on NLP tasks.
Transductive Semi-Supervised Deep Learning using Min-Max Features
In this paper, we propose Transductive Semi-Supervised Deep Learning (TSSDL) method that is effective for training Deep Convolutional Neural Network (DCNN) models.
Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification
The proposed method can take full advantages of the structured distance relationships among these training samples, with the constructed complete graph.
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