Hassan Rafique

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hassan Rafique trusts overall

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

  1. Arkadi Nemirovski
  2. Marco Tulio Ribeiro
  3. Chih-Jen Lin
  4. Janet L. Kolodner
  5. Yurii E. Nesterov
  6. Anatoli B. Juditsky
  7. Cynthia Rudin
  8. Scott M. Lundberg
  9. David Alvarez-Melis
  10. Marvin N. Wright

Who trusts Hassan Rafique overall

  1. Sebastian Raschka
  2. Joshua Patterson

Papers from Hassan Rafique's perspective

Ordered by how strongly the researchers Hassan Rafique 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. GENERATIVE ADVERSARIAL NETS
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers