Iretiayo Akinola

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 4 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 — 28 citations into it
• Reinforcement Learning — 27 citations into it
• Robotics & Control — 24 citations into it

Whom Iretiayo Akinola trusts overall

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

1. Ajay Mandlekar
2. Kaiming He
3. Yuke Zhu
4. Dean A. Pomerleau

Papers from Iretiayo Akinola's perspective

Ordered by how strongly the researchers Iretiayo Akinola trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. MuJoCo: A physics engine for model-based control
9. Mask R-CNN
10. Going deeper with convolutions

Their papers

• MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations (2023) — 398 citations