Shan Yu
Artificial Intelligence · with Chen · 2018
A researcher in the Science corpus: 2 papers; trusts 53 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it; #9,475 of 35,345 by trust here, #12,761 by citations
- Cognitive Neuroscience — 32 citations into it
- Computer Vision and Pattern Recognition — 31 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Neuroscience — 12 citations into it
- Model Architectures — 10 citations into it; #756 of 2,278 by trust here, #1,215 by citations
- Electrical and Electronic Engineering — 7 citations into it
- Optimization & Training — 7 citations into it
Whom Shan Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Vinod Nair
- Kaiming He
- Yann LeCun
- Herbert Jaeger
- Earl K. Miller
- Alex Krizhevsky
- Xavier Glorot
- Ian J. Goodfellow
Who trusts Shan Yu overall
Papers from Shan Yu's perspective
Ordered by how strongly the researchers Shan Yu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Continuous Learning of Context-dependent Processing in Neural Networks (2018) — 36 citations
- Continual learning of context-dependent processing in neural networks (2018) — 401 citations