- CyCADA: Cycle-Consistent Adversarial Domain Adaptation
- Efficient Neural Architecture Search with Network Morphism
- Taskonomy: Disentangling Task Transfer Learning
- A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
- Keep and Learn: Knowledge Preservation in Neural Networks
- BAM and CBAM: self-attention modules for CNN
- Clinically applicable deep learning for diagnosis and referral in retinal disease
- Cascade R-CNN: Delving into High Quality Object Detection
- Batch Size in Deep Learning
- DeepLab V3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
