Brian Van Essen

Computer Vision and Pattern Recognition · 3 papers · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 181 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 134 citations into it
• Artificial Intelligence — 132 citations into it
• Model Architectures — 53 citations into it
• Optimization & Training — 24 citations into it

Whom Brian Van Essen trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Alex Krizhevsky
5. Kaiming He
6. Ilya Sutskever
7. Diederik P. Kingma
8. Christian Szegedy
9. Alex Graves
10. J. Urgen Schmidhuber

Who trusts Brian Van Essen overall

1. Yunhui Guo

Papers from Brian Van Essen's perspective

Ordered by how strongly the researchers Brian Van Essen 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Large-Scale Deep Learning on the YFCC100M Dataset (2015) — 32 citations
• The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches (2018) — 1,014 citations
• Communication Quantization for Data-Parallel Training of Deep Neural Networks (2016) — 215 citations