Ibraheem Alhashim

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 461 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Ibraheem Alhashim trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Kaiming He
  6. Dan Xu
  7. Rob Fergus
  8. Yann LeCun
  9. Ilya Sutskever
  10. Jia Deng

Who trusts Ibraheem Alhashim overall

  1. Alexander Kolesnikov
  2. Zhenyu Li
  3. Igor Vasiljevic
  4. Anh-Quan Cao
  5. Shariq Farooq Bhat
  6. André Susano Pinto
  7. Mike Roberts
  8. Xuyang Wang
  9. Yi Wei
  10. Nicholas I. Kolkin

Papers from Ibraheem Alhashim's perspective

Ordered by how strongly the researchers Ibraheem Alhashim 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers