52 citations · 156 across the 22 of their papers we have counts for
4 papers · 1 filter
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
Jianguo Zhang, Trung Bui, Seunghyun Yoon +6
In this work, we focus on a more challenging few-shot intent detection scenario where many intents are fine-grained and semantically similar. We present a simple yet effective few-…
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation
Wenming Cao, Philip L. H. Yu, Gilbert C. S. Lui +5
In this work, we propose a new segmentation network by integrating DenseUNet and bidirectional LSTM together with attention mechanism, termed as DA-BDense-UNet. DenseUNet allows le…
CNN-based Realized Covariance Matrix Forecasting
Yanwen Fang, Philip L. H. Yu, Yaohua Tang
It is well known that modeling and forecasting realized covariance matrices of asset returns play a crucial role in the field of finance. The availability of high frequency intrada…
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu, Zoran Salcic, Lichao Sun +3
Machine learning (ML) models have been widely applied to various applications, including image classification, text generation, audio recognition, and graph data analysis. However,…