Muhammad Khawar Bashir

Artificial Intelligence · 2018

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 Muhammad Khawar Bashir trusts overall

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

  1. Matthew D. Zeiler
  2. Alex Krizhevsky

Papers from Muhammad Khawar Bashir's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Long Short-Term Memory
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  8. Learning Multiple Layers of Features from Tiny Images
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers