A. S. Younger

Model Architectures · 1999–2001

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 11 citations into it
• Optimization & Training — 9 citations into it

Whom A. S. Younger trusts overall

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

1. J. Urgen Schmidhuber
2. Ronald J. Williams
3. Paul J. Werbos
4. Jeffrey L. Elman
5. Paul E. Utgoff
6. Sepp Hochreiter
7. A. Robinson
8. David Zipser
9. David J. Chalmers
10. Peter R. Conwell

Who trusts A. S. Younger overall

1. J. Urgen Schmidhuber
2. Ignasi Clavera
3. Anusha Nagabandi
4. Timothy M. Hospedales
5. Jane X. Wang
6. Chelsea Finn
7. Sergey Levine
8. Pieter Abbeel
9. Yoshua Bengio
10. Ralf C. Staudemeyer

Papers from A. S. Younger's perspective

Ordered by how strongly the researchers A. S. Younger trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Learning to Learn Using Gradient Descent (2001) — 339 citations
• Meta-learning with backpropagation (2001) — 62 citations
• Fixed-weight on-line learning (1999)