Dane Sherburn

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #24,712 of 35,345 by trust here, #27,551 by citations
• Information Systems — 9 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Materials Chemistry — 6 citations into it
• Molecular Biology — 5 citations into it

Whom Dane Sherburn trusts overall

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

1. Heiko Paulheim
2. Bharath Ramsundar
3. Petar Ristoski
4. Steven M. Kearnes
5. Ashish Vaswani
6. Diederik P. Kingma
7. Yann LeCun
8. Geoffrey E. Hinton
9. Nino Shervashidze
10. Yoshua Bengio

Who trusts Dane Sherburn overall

1. Katsuhiko Ishiguro
2. Shaked Brody
3. Shin-ichi Maeda
4. David Bieber

Papers from Dane Sherburn's perspective

Ordered by how strongly the researchers Dane Sherburn trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Relational Graph Attention Networks (2018) — 247 citations
• GPT-4o System Card (2024) — 4,622 citations
• MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering (2024) — 302 citations