Stephane Rousset

Model Architectures · 1997–2004

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 18 citations into it
• Neuroscience — 11 citations into it
• Cognitive Science & Psychology — 8 citations into it
• Meta & Continual Learning — 6 citations into it

Whom Stephane Rousset trusts overall

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

1. Anthony V. Robins
2. R. M. French
3. Geoffrey E. Hinton
4. James L. McClelland
5. David E. Rumelhart
6. Michael I. Jordan
7. John K. Kruschke
8. Jeffrey L. Elman
9. David C. Plaut
10. Stephen Grossberg

Who trusts Stephane Rousset overall

1. R. M. French
2. Anthony V. Robins
3. Bernard Ans
4. Craig Atkinson
5. Mehdi Abbana Bennani
6. Brendan McCane
7. N. Chater
8. Masashi Sugiyama

Papers from Stephane Rousset's perspective

Ordered by how strongly the researchers Stephane Rousset 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. Long Short-Term Memory
4. Learning internal representations by error propagation
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers

• Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting (2004) — 58 citations
• Neural networks with a self-refreshing memory: Knowledge transfer in sequential learning tasks without catastrophic forgetting (2000) — 75 citations
• Pseudopatterns and dual-network memory models: Advantages and shortcomings (2000) — 31 citations
• Avoiding catastrophic forgetting by coupling two reverberating neural networks (1997)