Aaron Gokaslan

Computer Vision and Pattern Recognition · with Kim · 2018

A researcher in the Science corpus: 1 paper; trusts 103 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Generative Models — 16 citations into it
• Artificial Intelligence — 11 citations into it

Whom Aaron Gokaslan trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Sergey Ioffe
4. Alex Krizhevsky
5. Ming-Yu Liu
6. Diederik P. Kingma
7. Christian Szegedy
8. Yoshua Bengio
9. Yann LeCun
10. Ross B. Girshick

Who trusts Aaron Gokaslan overall

1. Sangwoo Mo
2. Yingxue Pang
3. Minsu Cho
4. Jianxin Lin

Papers from Aaron Gokaslan's perspective

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

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

Their papers

• Improving Shape Deformation in Unsupervised Image-to-Image Translation (2018) — 78 citations