Adil Rasheed

Statistical and Nonlinear Physics · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 54 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Adil Rasheed trusts overall

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

  1. Gitta Kutyniok
  2. Sepp Hochreiter
  3. Geoffrey E. Hinton
  4. Joel A. Tropp
  5. Robert Tibshirani
  6. Maizar Raissi
  7. Christian Soize
  8. Mohammad Abdullah Al Faruque
  9. Alaa El. Sagheer
  10. Alex Krizhevsky

Who trusts Adil Rasheed overall

  1. Billy Wu
  2. Ricardo Vinuesa
  3. Widanalage Dhammika Widanage
  4. Steven L. Brunton

Papers from Adil Rasheed's perspective

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

Their papers