Yongshuai Liu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Yongshuai Liu trusts overall

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

1. R. Dennis Cook
2. Huaiyu Zhu
3. Nicholas Carlini
4. Ian J. Goodfellow
5. Pang Wei Koh
6. Christian Szegedy
7. Alex Krizhevsky
8. Geoffrey E. Hinton
9. Sanford Weisberg
10. Yann LeCun

Papers from Yongshuai Liu's perspective

Ordered by how strongly the researchers Yongshuai Liu 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks (2018) — 14 citations