Jun-Seok Oh

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it

Whom Jun-Seok Oh trusts overall

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

1. Diederik P. Kingma

Who trusts Jun-Seok Oh overall

1. M. Mohammadi

Papers from Jun-Seok Oh's perspective

Ordered by how strongly the researchers Jun-Seok Oh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Human-level control through deep reinforcement learning
2. Reinforcement Learning: An Introduction
3. Playing Atari with Deep Reinforcement Learning (arXiv.org)
4. Deep Learning
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Semi-supervised Learning with Deep Generative Models
8. Long Short-Term Memory
9. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
10. Gradient-based learning applied to document recognition

Their papers

• Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services (2018) — 376 citations