Amirmojtaba Sabour

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amirmojtaba Sabour trusts overall

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

  1. Sebastian U. Stich
  2. Chih-Jen Lin
  3. Angelia Nedić
  4. Kaiming He
  5. Ohad Shamir
  6. Asuman E. Ozdaglar
  7. Ermin Wei
  8. Kunal Talwar
  9. Sébastien Marcel
  10. L. Eon Bottou

Papers from Amirmojtaba Sabour's perspective

Ordered by how strongly the researchers Amirmojtaba Sabour 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. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers