Heonseok Ha

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 Heonseok Ha trusts overall

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

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

Papers from Heonseok Ha's perspective

Ordered by how strongly the researchers Heonseok Ha 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. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
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