Raphael Gontijo-Lopes

Artificial Intelligence · with Chen · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 76 citations into it
• Computer Vision and Pattern Recognition — 62 citations into it
• Optimization & Training — 24 citations into it
• Representation & Self-Supervised Learning — 21 citations into it

Whom Raphael Gontijo-Lopes trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Kaiming He
6. Yann LeCun
7. Ross B. Girshick
8. Ilya Sutskever
9. Christian Szegedy
10. Jimmy Ba

Papers from Raphael Gontijo-Lopes's perspective

Ordered by how strongly the researchers Raphael Gontijo-Lopes 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
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

• Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time (2022) — 1,632 citations
• GPT-4 Technical Report (2023) — 26,133 citations