Kevin Ros

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 Kevin Ros 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 Kevin Ros's perspective

Ordered by how strongly the researchers Kevin Ros 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

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