Minjung Kim

Computer Vision and Pattern Recognition · with Kim · 2018

A researcher in the Science corpus: 1 paper; trusts 199 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #17,009 of 21,575 by trust here, #19,310 by citations
• Generative Models — 35 citations into it; #1,610 of 1,956 by trust here, #1,843 by citations
• Artificial Intelligence — 22 citations into it
• Optimization & Training — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it
• Signal Processing — 5 citations into it

Whom Minjung Kim trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Kaiming He
9. Alex Graves
10. Alec Radford

Who trusts Minjung Kim overall

1. Kwot Sin Lee
2. Chen Wang

Papers from Minjung Kim's perspective

Ordered by how strongly the researchers Minjung 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks (2018) — 45 citations