Myoung Shin Kim
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 10 citations into it
Whom Myoung Shin Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Sergey Ioffe
- Yann LeCun
- Ilya Sutskever
- Christian Szegedy
- Yoshua Bengio
- Nitish Srivastava
- Andrew Zisserman
Papers from Myoung Shin Kim's perspective
Ordered by how strongly the researchers Myoung Shin Kim 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
- ImageNet Large Scale Visual Recognition Challenge
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Dropout: a simple way to prevent neural networks from overfitting
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)