31 citations · 100 across the 12 of their papers we have counts for
15 papers
Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty
Wenting Xu, Zhenghua Xu, Junyang Chen +2
To reduce doctors' workload, deep-learning-based automatic medical report generation has recently attracted more and more research efforts, where deep convolutional neural networks…
Associative Memories via Predictive Coding
Tommaso Salvatori, Yuhang Song, Yujian Hong +5
Associative memories in the brain receive and store patterns of activity registered by the sensory neurons, and are able to retrieve them when necessary. Due to their importance in…
RSG: A Simple but Effective Module for Learning Imbalanced Datasets
Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu +2
Imbalanced datasets widely exist in practice and area great challenge for training deep neural models with agood generalization on infrequent classes. In this work, wepropose a new…
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz +2
Predictive coding networks (PCNs) are an influential model for information processing in the brain. They have appealing theoretical interpretations and offer a single mechanism tha…
FPAENet: Pneumonia Detection Network Based on Feature Pyramid Attention Enhancement
Xudong Zhang, Bo Wang, Di Yuan +2
Automatic pneumonia Detection based on deep learning has increasing clinical value. Although the existing Feature Pyramid Network (FPN) and its variants have already achieved some…
Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty
Wenting Xu, Chang Qi, Zhenghua Xu +1
To reduce doctors' workload, deep-learning-based automatic medical report generation has recently attracted more and more research efforts, where attention mechanisms and reinforce…