Conor J. Houghton

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 5 citations into it

Whom Conor J. Houghton trusts overall

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

1. Naftali Tishby
2. Xavier Glorot
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Vinod Nair
6. Ravid Shwartz-Ziv
7. Prajit Ramachandran
8. J. Urgen Schmidhuber
9. Kaiming He
10. Djork-Arné Clevert

Papers from Conor J. Houghton's perspective

Ordered by how strongly the researchers Conor J. Houghton 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. Going deeper with convolutions

Their papers

• Adaptive Estimators Show Information Compression in Deep Neural Networks (2019) — 37 citations
• Monitoring spike train synchrony (2012)