- Uncertainty and Deep Learning
- Progress & Compress: A scalable framework for continual learning
- Batch-Instance Normalization
- Geometry-aware CNN Features
- Discover New Value of Medical Imaging using Deep Learning
- DSD : Dense-Sparse-Dense Training for Deep Neural Networks
- Learning with Average Top-k Loss
- Deep Supervised Domain Adaptation
- Group Normalization
- Distilling the Knowledge in a Neural Network (NIPS 2014 Workshop)
