Rana Abbas

Electrical and Electronic Engineering · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rana Abbas trusts overall

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

  1. Yury Polyanskiy
  2. Zhiguo Ding
  3. Mahyar Shirvanimoghaddam
  4. Radford M. Neal
  5. Joel A. Tropp
  6. Bobak Anthony Nazer
  7. Haowen Deng
  8. Vladimir Kolmogorov
  9. Christopher Bongsoo Choy
  10. Eliya Nachmani

Papers from Rana Abbas's perspective

Ordered by how strongly the researchers Rana Abbas 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers