Hongkyu Park

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Hongkyu Park trusts

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

1. Charu C. Aggarwal (in Artificial Intelligence)
2. Philip S. Yu (in Artificial Intelligence)
3. L. Eon Bottou (in Computer Vision and Pattern Recognition)

Papers from Hongkyu Park's perspective

Ordered by how strongly the researchers Hongkyu Park trusts endorse each paper. Same corpus, a different order for every researcher.

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. GENERATIVE ADVERSARIAL NETS
3. Rectified Linear Units Improve Restricted Boltzmann Machines
4. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
5. Rectifier Nonlinearities Improve Neural Network Acoustic Models
6. Conditional Image Synthesis with Auxiliary Classifier GANs
7. Membership Inference Attacks Against Machine Learning Models
8. Towards Principled Methods for Training Generative Adversarial Networks
9. L-diversity: privacy beyond k-anonymity
10. Privacy Preserving Data Mining

Their papers

• Data Synthesis based on Generative Adversarial Networks (2018) — 615 citations