Garrett Honke

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Natural Language Processing — 18 citations into it
• Computational Theory and Mathematics — 16 citations into it
• Computational Chemistry & Drug Discovery — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Garrett Honke trusts overall

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

1. David Weininger
2. Tomas Mikolov
3. Chin-Yew Lin
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Kihyuk Sohn
7. Yoshua Bengio
8. W. L. Jorgensen
9. Diederik P. Kingma

Papers from Garrett Honke's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Translation between Molecules and Natural Language (2022) — 301 citations