Kai Zou

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #3,500 of 35,345 by trust here, #9,760 by citations
• Natural Language Processing — 19 citations into it; #883 of 5,688 by trust here, #2,156 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Kai Zou trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Richard Socher
5. L. V. D. van der Maaten
6. Ilya Sutskever
7. Yoon Kim
8. George A. Miller
9. Yoshua Bengio
10. Sandro Skansi

Who trusts Kai Zou overall

1. Adyasha Maharana
2. Hongyu Guo
3. Ruibo Liu
4. Steven Y. Feng
5. Mohit Bansal
6. Omid Kashefi
7. Jason Wei
8. Jiaao Chen
9. Freda Shi
10. Bohan Li

Papers from Kai Zou's perspective

Ordered by how strongly the researchers Kai Zou 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks (2019) — 2,358 citations