Terence D. Sanger

Neuroscience · 1988–2011

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

• Neuroscience — 6 citations into it
• Model Architectures — 5 citations into it

Whom Terence D. Sanger trusts overall

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

1. Ralph Linsker
2. Teuvo Kohonen
3. Pierre Baldi
4. Geoffrey E. Hinton
5. Kurt Hornik
6. David E. Rumelhart
7. Richard P. Lippmann
8. Bernard Widrow
9. Erkki Oja
10. Elie Bienenstock

Who trusts Terence D. Sanger overall

1. Robert D. Dony
2. Sethu Vijayakumar
3. Kenji Doya
4. David J. Field
5. Charles M. Bishop
6. Jianmin Jiang
7. Paul Honeine
8. Mark A. Kramer
9. Bernd Fritzke
10. Josh Tenenbaum

Papers from Terence D. Sanger's perspective

Ordered by how strongly the researchers Terence D. Sanger 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Harnessing neuroplasticity for clinical applications (2011) — 1,149 citations
• Classification and definition of disorders causing hypertonia in childhood. (2003) — 769 citations
• Neural network learning control of robot manipulators using gradually increasing task difficulty (1994)
• Optimal unsupervised learning in a single-layer linear feedforward neural network (1989)
• An Optimality Principle for Unsupervised Learning (1988)