N. C. Chung

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom N. C. Chung trusts

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

1. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
2. Ruslan Salakhutdinov (in Computer Vision and Pattern Recognition)

Papers from N. C. Chung's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Visualizing Data using t-SNE
3. Gradient-based learning applied to document recognition
4. Representation Learning: A Review and New Perspectives
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. TensorFlow: A system for large-scale machine learning
8. Long Short-Term Memory
9. Multimodal learning with deep Boltzmann machines
10. Going deeper with convolutions

Their papers

• Machine Learning and Integrative Analysis of Biomedical Big Data (2019) — 304 citations