Hisham Husain

Artificial Intelligence · 2020–2025

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hisham Husain trusts overall

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

  1. Manfred Opper
  2. Hans Raj Tiwary
  3. Thorsten Theobald
  4. Hippolyt Ritter
  5. Sylvestre-Alvise Rebuffi
  6. Michalis K. Titsias
  7. Geoffrey E. Hinton
  8. Andrei A. Rusu
  9. Razvan Pascanu
  10. James Kirkpatrick

Who trusts Hisham Husain overall

  1. Xikun Zhang
  2. Sungmin Cha
  3. Jonas Frey
  4. Zheda Mai
  5. Timothée Lesort

Papers from Hisham Husain's perspective

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

Their papers