Nicholas Vincent
Artificial Intelligence · 2021
A researcher in the Science corpus: 2 papers; trusts 72 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it; #33,181 of 35,345 by trust here, #23,077 by citations
- Large Language Models — 21 citations into it
- Evaluation & Benchmarks — 16 citations into it; #2,849 of 3,147 by trust here, #2,442 by citations
- Natural Language Processing — 11 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Safety Research — 5 citations into it
Whom Nicholas Vincent trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jacob Devlin
- Alec Radford
- Geoffrey E. Hinton
- Ilya Sutskever
- Yoshua Bengio
- Jia Deng
- Diederik P. Kingma
- Ruslan Salakhutdinov
- Alex Krizhevsky
- Timnit Gebru
Who trusts Nicholas Vincent overall
Papers from Nicholas Vincent's perspective
Ordered by how strongly the researchers Nicholas Vincent trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge