Jeongseob Ahn

Artificial Intelligence · 2021

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 — 24 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Optimization & Training — 11 citations into it

Whom Jeongseob Ahn trusts overall

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

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

Papers from Jeongseob Ahn's perspective

Ordered by how strongly the researchers Jeongseob Ahn 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Zico: Efficient GPU Memory Sharing for Concurrent DNN Training (2021) — 63 citations