Abdul Malik Badshah

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abdul Malik Badshah trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Honglak Lee
  4. Ilya Sutskever
  5. Tara N. Sainath
  6. Dong Yu
  7. Qi-rong Mao
  8. Yangqing Jia
  9. Felix Burkhardt
  10. Abdel-rahman Mohamed

Who trusts Abdul Malik Badshah overall

  1. Seunghyun Yoon
  2. Taiba Maijd Wani
  3. Ruhul Amin Khalil
  4. Seokhyun Byun
  5. Teddy Surya Gunawan

Papers from Abdul Malik Badshah's perspective

Ordered by how strongly the researchers Abdul Malik Badshah 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers