Chung Tin
Biomedical Engineering · 2017
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 9 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Artificial Intelligence — 7 citations into it
- Cognitive Neuroscience — 7 citations into it
- Cellular and Molecular Neuroscience — 5 citations into it
Whom Chung Tin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chung Tin's perspective
Ordered by how strongly the researchers Chung Tin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Improving neural networks by preventing co-adaptation of feature detectors
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)