Ah Chung Tsoi

Model Architectures · 1997–2009

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 400 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 23 citations into it
• Artificial Intelligence — 18 citations into it; #3,084 of 35,345 by trust here, #1,937 by citations
• Computer Vision and Pattern Recognition — 12 citations into it; #2,115 of 21,575 by trust here, #1,484 by citations
• Representation & Self-Supervised Learning — 9 citations into it
• Statistical Learning Theory — 5 citations into it
• Natural Language Processing — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Ah Chung Tsoi trusts overall

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

1. Teuvo Kohonen
2. Fernando J. Pineda
3. Yann LeCun
4. Jeffrey L. Elman
5. Simon S. Haykin
6. M. Powell
7. Yaser S. Abu-Mostafa
8. Yuhai Wu
9. Robert A. Jacobs
10. Jorma Rissanen

Who trusts Ah Chung Tsoi overall

1. William L. Hamilton
2. X. Wang
3. Renjie Liao
4. Yoshua Bengio
5. Yang Song
6. Joan Bruna
7. Abhinav Kumar Gupta
8. Thomas Kipf
9. Yann LeCun
10. Ruslan Salakhutdinov

Papers from Ah Chung Tsoi's perspective

Ordered by how strongly the researchers Ah Chung Tsoi 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. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The Graph Neural Network Model (2009) — 9,596 citations
• Computational Capabilities of Graph Neural Networks (2009) — 234 citations
• Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference (2001) — 414 citations
• Graph neural networks for ranking Web pages (2005) — 118 citations
• Face recognition: a convolutional neural-network approach (1997)