Rick Siow Mong Goh

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 92 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it; #27,501 of 35,345 by trust here, #26,682 by citations
• Computer Vision and Pattern Recognition — 51 citations into it; #16,861 of 21,575 by trust here, #17,258 by citations
• Representation & Self-Supervised Learning — 11 citations into it
• Computational Mechanics — 8 citations into it

Whom Rick Siow Mong Goh trusts overall

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

1. Vladimir Naumovich Vapnik
2. Yann LeCun
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Yoshua Bengio
7. Kaiming He
8. Andrea Vedaldi
9. Li Fei-Fei
10. Jia Deng

Who trusts Rick Siow Mong Goh overall

1. Yong Liu
2. Xinxing Xu
3. Yong Kiam Tan

Papers from Rick Siow Mong Goh's perspective

Ordered by how strongly the researchers Rick Siow Mong Goh trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet Large Scale Visual Recognition Challenge
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Histograms of oriented gradients for human detection
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• AnomalyNet: An Anomaly Detection Network for Video Surveillance (2019) — 317 citations
• Transfer Hashing with Privileged Information (2016) — 29 citations
• Simple and Efficient Learning using Privileged Information (2016) — 12 citations