Van-Duc Tran
Automation in Construction · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Van-Duc Tran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Van-Duc Tran overall
Papers from Van-Duc Tran's perspective
Ordered by how strongly the researchers Van-Duc Tran trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Dropout: a simple way to prevent neural networks from overfitting
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)