Adrienne Othon

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 114 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #15,284 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 12 citations into it; #24,718 of 35,345 by trust here, #31,361 by citations
• Generative Models — 5 citations into it

Whom Adrienne Othon trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. David Lopez-Paz
4. Zhizhong Li
5. Yoshua Bengio
6. Marc'Aurelio Ranzato
7. Yann LeCun
8. Diederik P. Kingma
9. Michael Gygli
10. Ilya Sutskever

Who trusts Adrienne Othon overall

1. Chris Dongjoo Kim
2. Steven C. Y. Hung

Papers from Adrienne Othon's perspective

Ordered by how strongly the researchers Adrienne Othon 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
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

• Subset Replay Based Continual Learning for Scalable Improvement of Autonomous Systems (2018) — 19 citations