Mitchell L. Gordon

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Generative Models — 18 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Computer Science Applications — 6 citations into it

Whom Mitchell L. Gordon trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Christian Szegedy
6. Radford M. Neal
7. Yann LeCun
8. Kaiming He
9. Ilya Sutskever
10. Jia Deng

Who trusts Mitchell L. Gordon overall

1. Rowan Zellers
2. Yang Song

Papers from Mitchell L. Gordon's perspective

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

Their papers

• HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models (2019) — 136 citations