Youhui Bai

Computer Vision and Pattern Recognition · 2021

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

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 22 citations into it
• Optimization & Training — 18 citations into it
• ML Systems & Hardware — 9 citations into it

Whom Youhui Bai trusts overall

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

1. Nikko Ström
2. Yanghua Peng
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Noam Shazeer
6. Yoshua Bengio
7. Kaiming He
8. Jacob Devlin
9. Ashish Vaswani
10. Alexander Sergeev

Papers from Youhui Bai's perspective

Ordered by how strongly the researchers Youhui Bai 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Gradient Compression Supercharged High-Performance Data Parallel DNN Training (2021) — 60 citations