Syed Attique Shah

Artificial Intelligence · 2021

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 Syed Attique Shah trusts overall

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

  1. David Budgen
  2. Kaiming He
  3. Kazi Masudul Alam
  4. Hado van Hasselt
  5. G. Huang
  6. Pearl Brereton
  7. Tom Schaul
  8. David Silver
  9. Volodymyr Mnih
  10. Fei Tao

Papers from Syed Attique Shah's perspective

Ordered by how strongly the researchers Syed Attique Shah 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. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Identity Mappings in Deep Residual Networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Support-Vector Networks
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers