Hung Quoc Ngo

Statistical Learning Theory · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 5 citations into it

Whom Hung Quoc Ngo trusts overall

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

1. J. Urgen Schmidhuber
2. Christopher K. I. Williams

Who trusts Hung Quoc Ngo overall

1. Mikhail Frank
2. Martin A. Riedmiller
3. Gabriella Csurka
4. Jürgen Leitner

Papers from Hung Quoc Ngo's perspective

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

Their papers

• Learning skills from play: Artificial curiosity on a Katana robot arm (2012) — 38 citations
• On handling negative transfer and imbalanced distributions in multiple source transfer learning (2014) — 131 citations