Anthony J. Bonner

Representation & Self-Supervised Learning · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 18 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Anthony J. Bonner trusts overall

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

1. Geoffrey E. Hinton
2. L. V. D. van der Maaten
3. Ruslan Salakhutdinov
4. Yoshua Bengio
5. Hugo Larochelle
6. Yann LeCun
7. Alex Krizhevsky
8. Radford M. Neal
9. Sam T. Roweis
10. Diederik P. Kingma

Papers from Anthony J. Bonner's perspective

Ordered by how strongly the researchers Anthony J. Bonner 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A Deep Non-linear Feature Mapping for Large-Margin kNN Classification (2009) — 97 citations
• Deep Supervised t-Distributed Embedding (2010) — 59 citations