Carl N. Edwards

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 Carl N. Edwards trusts overall

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

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

Papers from Carl N. Edwards's perspective

Ordered by how strongly the researchers Carl N. Edwards 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

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