Hai Zhang
Artificial Intelligence · with Chen · 2019
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Model Architectures — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Hai Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hai Zhang's perspective
Ordered by how strongly the researchers Hai Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Wide Residual Networks
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)