Rick Salay
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 157 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 37 citations into it; #19,582 of 21,575 by trust here, #21,103 by citations
- Artificial Intelligence — 31 citations into it; #30,217 of 35,345 by trust here, #32,362 by citations
- Safety, Robustness & Interpretability — 17 citations into it
- Evaluation & Benchmarks — 12 citations into it; #2,723 of 3,147 by trust here, #3,112 by citations
- Model Architectures — 5 citations into it
- Software — 5 citations into it; #985 of 1,227 by trust here, #1,098 by citations
Whom Rick Salay trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Kush R. Varshney
- Yoav Freund
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Robert E. Schapire
Who trusts Rick Salay overall
- Xiaowei Huang
- Xingyu Zhao
- Silverio Martínez-Fernández
- Sergey I. Nikolenko
- James Sharp
- Alec Banks
- Daniel Kroening
- Justus Bogner
Papers from Rick Salay's perspective
Ordered by how strongly the researchers Rick Salay trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge