Mark Reynolds

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 6 citations into it
• Ocean Engineering — 6 citations into it

Whom Mark Reynolds trusts overall

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

1. Sepp Hochreiter
2. Yoshua Bengio
3. J. Urgen Schmidhuber
4. Geoffrey E. Hinton
5. Yann Dauphin
6. Alex Graves
7. Ilya Sutskever

Papers from Mark Reynolds's perspective

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

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

Their papers

• SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction (2018) — 411 citations
• SARS-CoV-2 evolution during treatment of chronic infection (2021) — 955 citations