Peter R. Conwell

Model Architectures · 1990–2001

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 10 citations into it; #1,903 of 2,278 by trust here, #2,037 by citations
• Optimization & Training — 9 citations into it

Whom Peter R. Conwell trusts overall

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

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

Who trusts Peter R. Conwell overall

1. Jane X. Wang
2. J. Urgen Schmidhuber
3. Zeb Kurth-Nelson
4. A. S. Younger
5. Chelsea Finn
6. Sepp Hochreiter
7. Sergey Levine
8. Ignasi Clavera
9. Ralf C. Staudemeyer
10. Chengzhou Tang

Papers from Peter R. Conwell's perspective

Ordered by how strongly the researchers Peter R. Conwell trusts endorse each paper. Same corpus, a different order for every researcher.

1. Generalization of backpropagation with application to a recurrent gas market model
2. The Utility Driven Dynamic Error Propagation Network
3. Finding Structure in Time
4. A self-optimizing, nonsymmetrical neural net for content addressable memory and pattern recognition
5. Gradient-based learning algorithms for recurrent networks and their computational complexity
6. A logical calculus of the ideas immanent in nervous activity
7. Gradient-based learning applied to document recognition
8. Simple Principles of Metalearning
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. A neural network that embeds its own meta-levels

Their papers

• Learning to Learn Using Gradient Descent (2001) — 339 citations
• Meta-learning with backpropagation (2001) — 62 citations
• Fixed-weight on-line learning (1999)
• Fixed-weight networks can learn (1990)