Oscar Day

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #15,041 of 21,575 by trust here, #17,258 by citations

Whom Oscar Day trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. David G. Lowe
4. Yann LeCun
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Kaiming He
8. Shai Shalev-Shwartz
9. Ilya Sutskever
10. Thomas Hofmann

Who trusts Oscar Day overall

1. Wei Wang
2. Vincent Wenchen Zheng
3. Yuji Roh
4. Han Yu

Papers from Oscar Day's perspective

Ordered by how strongly the researchers Oscar Day 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A survey on heterogeneous transfer learning (2017) — 362 citations