Ke He

Artificial Intelligence · with Asghar · 2023

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Safety, Robustness & Interpretability — 42 citations into it
• Computer Networks and Communications — 31 citations into it
• Signal Processing — 25 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Model Architectures — 5 citations into it

Whom Ke He trusts overall

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

1. Ian J. Goodfellow
2. Nicolas Papernot
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Nicholas Carlini
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Robert Tibshirani
10. Christian Szegedy

Papers from Ke He's perspective

Ordered by how strongly the researchers Ke He 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey (2023) — 371 citations