Hoi-To Wai
Computational Mechanics · 2016
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
- Computational Mechanics — 9 citations into it
- Computer Networks and Communications — 9 citations into it
- Artificial Intelligence — 8 citations into it
- Optimization & Training — 7 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Hoi-To Wai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin Jaggi
- Francis R. Bach
- Lin Xiao
- D. P. Palomar
- Hua Ouyang
- Stephen P. Boyd
- Yurii E. Nesterov
- A. Dimakis
- Aurélien Bellet
Papers from Hoi-To Wai's perspective
Ordered by how strongly the researchers Hoi-To Wai trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge