Rich James

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Computer Vision and Pattern Recognition — 42 citations into it

Whom Rich James trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Kaiming He
6. Ilya Sutskever
7. Jimmy Ba
8. Yann LeCun
9. Jia Deng
10. Alex Graves

Papers from Rich James's perspective

Ordered by how strongly the researchers Rich James 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Microsoft COCO: Common Objects in Context
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• REPLUG: Retrieval-Augmented Black-Box Language Models (2023) — 1,051 citations
• Retrieval-Augmented Multimodal Language Modeling (2023) — 166 citations