Umar Syed

Artificial Intelligence · 2007–2014

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Umar Syed trusts overall

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

  1. Robert E. Schapire
  2. Yoav Freund
  3. Martin L. Puterman
  4. Pieter Abbeel
  5. Michael Kearns
  6. Leo Breiman
  7. Andrew Y. Ng
  8. Jerome H. Friedman
  9. Ashesh Jain
  10. Satinder Singh

Who trusts Umar Syed overall

  1. Bilal Piot
  2. Jonathan Ho
  3. Sergey Levine
  4. Matthieu Geist
  5. Bingyi Kang
  6. Stefano Ermon
  7. Abdeslam Boularias
  8. Olivier Pietquin
  9. Daniel S. Brown
  10. Pieter Abbeel

Papers from Umar Syed's perspective

Ordered by how strongly the researchers Umar Syed 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers