Griffin Lacey

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Optimization & Training — 8 citations into it
• ML Systems & Hardware — 5 citations into it

Whom Griffin Lacey trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ronan Collobert
5. James Bergstra
6. Yann LeCun
7. Adam Coates
8. Ilya Sutskever
9. J. Urgen Schmidhuber
10. Yangqing Jia

Who trusts Griffin Lacey overall

1. Shimeng Yu
2. William Grant Hatcher
3. Giang Nguyen
4. Wei Yu
5. Tal Ben-Nun

Papers from Griffin Lacey's perspective

Ordered by how strongly the researchers Griffin Lacey 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Deep Learning on FPGAs: Past, Present, and Future (2016) — 183 citations
• Learning Human Identity From Motion Patterns (2015) — 192 citations
• Federated learning for predicting clinical outcomes in patients with COVID-19 (2021) — 736 citations