Jaeha Kung

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it; #21,171 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 11 citations into it; #34,701 of 35,345 by trust here, #15,866 by citations
• Model Architectures — 10 citations into it

Whom Jaeha Kung trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Simon S. Haykin
2. Yann LeCun
3. J. Urgen Schmidhuber
4. H. T. Kung
5. Yoshua Bengio
6. Sergey Ioffe
7. Felix Alexander Gers
8. Stephen Gould
9. Geoffrey E. Hinton
10. L. Eon Bottou

Who trusts Jaeha Kung overall

1. Sebastian U. Stich

Papers from Jaeha Kung's perspective

Ordered by how strongly the researchers Jaeha Kung trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• On-chip training of recurrent neural networks with limited numerical precision (2017) — 42 citations
• Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory (2016) — 213 citations