Y. Yoon

Computer Vision and Pattern Recognition · with Lim · 2020

A researcher in the Science corpus: 1 paper; trusts 173 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Multimodal Learning — 24 citations into it
• Artificial Intelligence — 22 citations into it
• Natural Language Processing — 10 citations into it

Whom Y. Yoon trusts overall

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

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

Papers from Y. Yoon's perspective

Ordered by how strongly the researchers Y. Yoon 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Microsoft COCO: Common Objects in Context

Their papers

• Multi-View Attention Networks for Visual Dialog (2020) — 25 citations