Byoungjip Kim

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 20 citations into it
• Generative Models — 10 citations into it
• Reinforcement Learning — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Byoungjip Kim trusts overall

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

1. Yoshua Bengio
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ilya Sutskever
6. Christian Szegedy
7. Diederik P. Kingma
8. Yann LeCun
9. Kaiming He
10. Oriol Vinyals

Who trusts Byoungjip Kim overall

1. Xiang Wang

Papers from Byoungjip Kim's perspective

Ordered by how strongly the researchers Byoungjip Kim 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• POMO: Policy Optimization with Multiple Optima for Reinforcement Learning (2020) — 645 citations
• Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks (2017) — 42 citations