Yeonwoo Jeong

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Reinforcement Learning — 19 citations into it
• Generative Models — 16 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Optimization & Training — 5 citations into it

Whom Yeonwoo Jeong trusts overall

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

1. Diederik P. Kingma
2. Andriy Mnih
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Aäron van den Oord
6. Individualized Treat
7. Alex Krizhevsky
8. Oriol Vinyals
9. Ilya Sutskever
10. Yann LeCun

Who trusts Yeonwoo Jeong overall

1. Fei Ye
2. Adrian G. Bors
3. Yuxiang Wei
4. Yupeng Shi

Papers from Yeonwoo Jeong's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning Discrete and Continuous Factors of Data via Alternating Disentanglement (2019) — 49 citations
• EMI: Exploration with Mutual Information (2018) — 107 citations