Bernard Ans

Model Architectures · 1997–2004

A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 12 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
• Cognitive Neuroscience — 5 citations into it; #2,207 of 10,852 by trust here, #4,528 by citations

Whom Bernard Ans 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. John K. Kruschke
6. Michael I. Jordan
7. David E. Rumelhart
8. Jeffrey L. Elman
9. David C. Plaut
10. Stephen Grossberg

Who trusts Bernard Ans overall

1. R. M. French
2. Anthony V. Robins
3. Craig Atkinson
4. Mehdi Abbana Bennani
5. Stephane Rousset
6. N. Chater
7. Brendan McCane
8. Masashi Sugiyama
9. J. Riesenberg
10. Ali Ayub

Papers from Bernard Ans's perspective

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

Their papers

• Phonological and visual processing deficits can dissociate in developmental dyslexia: Evidence from two case studies (2003) — 251 citations
• 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)