Lyle Regenwetter

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 217 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Generative Models — 38 citations into it
• Artificial Intelligence — 22 citations into it
• Computational Mechanics — 11 citations into it
• Statistical and Nonlinear Physics — 11 citations into it
• Graph Learning — 9 citations into it
• Civil and Structural Engineering — 7 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it

Whom Lyle Regenwetter trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Diederik P. Kingma
4. Yoshua Bengio
5. Alex Krizhevsky
6. Yann LeCun
7. Ilya Sutskever
8. Richard S. Sutton
9. Ross B. Girshick
10. Leon A. Gatys

Papers from Lyle Regenwetter's perspective

Ordered by how strongly the researchers Lyle Regenwetter 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Generative Models in Engineering Design: A Review (2021) — 337 citations