Yimin Liu
Artificial Intelligence · with Durlofsky · 2019
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Model Architectures — 7 citations into it
- Optimization & Training — 5 citations into it
Whom Yimin Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Evan Shelhamer
- Yoshua Bengio
- Yinhao Zhu
- Charles Audet
- Olaf Ronneberger
- Geoffrey E. Hinton
- X. Zhang
- Diederik P. Kingma
- Alex Krizhevsky
Papers from Yimin Liu's perspective
Ordered by how strongly the researchers Yimin Liu 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)