Jon Gillick

Artificial Intelligence · 2021

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

Subfields

• Artificial Intelligence — 5 citations into it

Whom Jon Gillick trusts overall

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

1. Kaiming He
2. Annamaria Mesaros
3. X. Zhang
4. Jort Florent Gemmeke
5. Daniel S. Park
6. Shaoqing Ren
7. Adam Paszke
8. Toni Heittola
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Who trusts Jon Gillick overall

1. Tu Nguyen

Papers from Jon Gillick's perspective

Ordered by how strongly the researchers Jon Gillick 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. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Robust Laughter Detection in Noisy Environments (2021) — 42 citations