Yaser S. Abu-Mostafa

Journal of Applied Probability · 1988–2005

A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Whom Yaser S. Abu-Mostafa trusts overall

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

1. Vladimir Naumovich Vapnik
2. David E. Rumelhart
3. Leslie G. Valiant
4. Geoffrey E. Hinton
5. Ronald J. Williams
6. Yoav Freund
7. Bernhard Schölkopf
8. Rob Fergus
9. Kevin P. Murphy
10. Alex Smola

Who trusts Yaser S. Abu-Mostafa overall

1. Sebastian Ruder
2. David John Cameron MacKay
3. R. Caruana
4. C. Lee Giles
5. Jonathan Baxter
6. Sebastian Thrun
7. Pedro M. Domingos
8. Jude W. Shavlik
9. Steve Lawrence
10. John Scott Bridle

Papers from Yaser S. Abu-Mostafa's perspective

Ordered by how strongly the researchers Yaser S. Abu-Mostafa 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Pruning training sets for learning of object categories (2005) — 179 citations
• On the maximum drawdown of a Brownian motion (2004) — 120 citations
• Learning from hints in neural networks (1990)
• On the K-Winners-Take-All Network (1988)
• Complexity in Information Theory (1988)