Masud Moshtaghi

Artificial Intelligence · 2016

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

Subfields

Whom Masud Moshtaghi trusts overall

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

  1. Avrim Blum

Papers from Masud Moshtaghi's perspective

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

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

Their papers