Syed Zawad

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Syed Zawad trusts overall

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

  1. H. Brendan McMahan
  2. Martín Abadi
  3. Cynthia Dwork

Papers from Syed Zawad's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Large Scale Distributed Deep Networks
  4. Gradient-based learning applied to document recognition
  5. ImageNet classification with deep convolutional neural networks
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. TensorFlow: A system for large-scale machine learning
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers