John R. Kender

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 124 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #16,197 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 13 citations into it
• Generative Models — 9 citations into it
• Model Architectures — 6 citations into it

Whom John R. Kender trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Sepp Hochreiter
4. Yoshua Bengio
5. Ruslan Salakhutdinov
6. Yann LeCun
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Oriol Vinyals
10. Nitish Srivastava

Who trusts John R. Kender overall

1. Ye Yuan
2. Félix G. Harvey
3. Chiyu "Max" Jiang
4. Jingwei Xu

Papers from John R. Kender's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• HP-GAN: Probabilistic 3D Human Motion Prediction via GAN (2017) — 375 citations