Son Lam Phung

Artificial Intelligence · 2002–2022

A researcher in the Science corpus: 5 papers; trusts 179 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it; #13,906 of 21,575 by trust here, #17,757 by citations
• Probabilistic & Bayesian Methods — 22 citations into it
• Meta & Continual Learning — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Son Lam Phung trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Radford M. Neal
4. Alex Krizhevsky
5. Matthew A. Turk
6. Michael J. Jones
7. Carl E. Rasmussen
8. Yoshua Bengio
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Son Lam Phung overall

1. Miquel Perelló Nieto
2. Praveen K. Kakumanu
3. Sokratis Makrogiannis

Papers from Son Lam Phung's perspective

Ordered by how strongly the researchers Son Lam Phung trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation (2022) — 83 citations
• A Scalable Hierarchical Gaussian Process Classifier (2019) — 9 citations
• A supervised learning approach for imbalanced data sets (2008) — 55 citations
• Skin segmentation using color pixel classification: analysis and comparison (2005) — 872 citations
• A novel skin color model in YCbCr color space and its application to human face detection (2002) — 312 citations