Louis Y. Kim

Computer Vision and Pattern Recognition · 2018

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

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it

Whom Louis Y. Kim trusts overall

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

1. Tomas Mikolov
2. Ilya Sutskever
3. Yoshua Bengio
4. Geoffrey E. Hinton

Who trusts Louis Y. Kim overall

1. Yi Li
2. Michael Fu

Papers from Louis Y. Kim's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
9. Extracting and composing robust features with denoising autoencoders
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Automated Vulnerability Detection in Source Code Using Deep Representation Learning (2018) — 695 citations
• Learning to Repair Software Vulnerabilities with Generative Adversarial Networks (2018) — 83 citations