Nick Moran

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 27 citations into it
• Safety, Robustness & Interpretability — 24 citations into it

Whom Nick Moran trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Jia Deng
5. Kaiming He
6. Ian J. Goodfellow
7. Jimmy Ba
8. Yoshua Bengio
9. Yann LeCun
10. David L. Donoho

Who trusts Nick Moran overall

1. Tao Huang
2. Cihang Xie
3. Micah Goldblum

Papers from Nick Moran's perspective

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

Their papers

• Deflecting Adversarial Attacks with Pixel Deflection (2018) — 334 citations
• Noisier2Noise: Learning to Denoise From Unpaired Noisy Data (2019) — 318 citations