Mohammad Tariqul Islam

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 7 papers; trusts 27 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Mohammad Tariqul Islam trusts overall

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

  1. Leo Breiman
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Stefan Jaeger
  5. Matthew D. Zeiler
  6. Alex Krizhevsky
  7. Nitish Srivastava
  8. Sema Candemir
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Mohammad Tariqul Islam overall

  1. Lulu Wang
  2. Chunli Qin
  3. F. Pasa
  4. Dimpy Varshni
  5. Demin Yao

Papers from Mohammad Tariqul Islam's perspective

Ordered by how strongly the researchers Mohammad Tariqul Islam 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers