Cian O’Donnell

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; 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 Cian O’Donnell 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

Papers from Cian O’Donnell's perspective

Ordered by how strongly the researchers Cian O’Donnell 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. Rectified Linear Units Improve Restricted Boltzmann Machines
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Understanding the difficulty of training deep feedforward neural networks
10. ImageNet: A large-scale hierarchical image database

Their papers

• Adaptive Estimators Show Information Compression in Deep Neural Networks (2019) — 37 citations