Umair Mohammad

Computer Networks and Communications · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Umair Mohammad trusts overall

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

  1. Umair Yaqub
  2. Shiqiang Wang
  3. Tiffany Tuor
  4. Yann LeCun
  5. Sameh Sorour
  6. L. Eon Bottou
  7. Yuyi Mao
  8. Theodoros Salonidis
  9. Yoshua Bengio
  10. Changsheng You

Who trusts Umair Mohammad overall

  1. Sameh Sorour
  2. Li Li
  3. Dinh C. Nguyen
  4. Yuxi Fan
  5. Ming Ding
  6. Mike Tse

Papers from Umair Mohammad's perspective

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

Their papers