Bernard Widrow

Model Architectures · 1962–2008

A researcher in the Science corpus: 12 papers; trusts 7 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 12 citations into it
• Statistical Learning Theory — 6 citations into it; #376 of 1,038 by trust here, #519 by citations

Whom Bernard Widrow trusts overall

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

1. Paul J. Werbos
2. Geoffrey E. Hinton
3. David E. Rumelhart
4. Terrence J. Sejnowski
5. Derrick Nguyen
6. John J. Hopfield
7. Ronald J. Williams
8. Richard P. Lippmann
9. Claude E. Shannon
10. Eric B. Baum

Who trusts Bernard Widrow overall

1. J. Urgen Schmidhuber
2. Sergey Levine
3. Andrea Soltoggio
4. Yoshua Bengio
5. Charles M. Bishop
6. Gert Cauwenberghs
7. Joe Pater
8. Joel L. Schiff
9. Michael I. Jordan
10. Andrea Apicella

Papers from Bernard Widrow's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications (2008) — 366 citations
• Least-mean-square adaptive filters (2003) — 496 citations
• Statistical theory of quantization (1996)
• Neural networks: applications in industry, business and science (1994)
• THE TRUCK BACKER-UPPER (1990)
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation (1990)
• Neural networks for self-learning control systems (1990)
• Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights (1990)
• The truck backer-upper: an example of self-learning in neural networks (1989)
• Adaptive switching circuits (1988)
• Pattern Recognition and Adaptive Control (1964)
• Associative Storage and Retrieval of Digital Information in Networks of Adaptive “Neurons” (1962)