Ho Bae

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 125 citations into it
• Safety, Robustness & Interpretability — 77 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Privacy & Security — 28 citations into it
• Signal Processing — 21 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ho Bae trusts overall

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

1. Yoshua Bengio
2. Ian J. Goodfellow
3. Geoffrey E. Hinton
4. Nicolas Papernot
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Yann LeCun
8. Kaiming He
9. Cynthia Dwork
10. Christian Szegedy

Papers from Ho Bae's perspective

Ordered by how strongly the researchers Ho Bae 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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

• Security and Privacy Issues in Deep Learning (2018) — 90 citations