Uzair Aslam Bhatti

Graph Learning · 2023

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 Uzair Aslam Bhatti trusts overall

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

  1. Aditya Grover
  2. Geoffrey E. Hinton
  3. Wen Torng
  4. Fragkiskos D. Malliaros
  5. Xin Wei
  6. Yoshua Bengio
  7. Federico Monti
  8. Bryan Perozzi
  9. Diederik P. Kingma
  10. Yann LeCun

Papers from Uzair Aslam Bhatti's perspective

Ordered by how strongly the researchers Uzair Aslam Bhatti 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers