Tom Chau

Model Architectures · 2001

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 6 citations into it

Whom Tom Chau trusts overall

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

1. Stéphane Mallat
2. Teuvo Kohonen
3. David E. Rumelhart
4. Geoffrey E. Hinton
5. Robert Andrews
6. David L. Donoho
7. Richard Bellman
8. Jeffrey L. Elman
9. Halbert White
10. George V. Cybenko

Who trusts Tom Chau overall

1. Fabian Horst
2. Stephen J. Preece
3. Jeffrey M. Hausdorff
4. Kamiar Aminian
5. Sebastian Lapuschkin
6. John Yannis Goulermas
7. Paulo J. G. Lisboa
8. Bijan Najafi
9. Wojciech Samek
10. Laurence P. J. Kenney

Papers from Tom Chau's perspective

Ordered by how strongly the researchers Tom Chau 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• A review of analytical techniques for gait data. Part 1: Fuzzy, statistical and fractal methods. (2001) — 420 citations
• A review of analytical techniques for gait data. Part 2: neural network and wavelet methods. (2001) — 341 citations