Muhammad Asif Rana

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Asif Rana trusts overall

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

  1. Sylvain Calinon
  2. Markus Schneider
  3. Auke Jan Ijspeert
  4. Seyed Mohammad Khansari-Zadeh
  5. Brenna D. Argall
  6. Stefan Schaal
  7. Aude Gemma Billard
  8. Lydia E. Kavraki
  9. Stan Salvador
  10. Ryan P. Adams

Who trusts Muhammad Asif Rana overall

  1. Harish Chaandar Ravichandar
  2. Seyed Reza Ahmadzadeh
  3. Ajay Mandlekar
  4. Sonia Chernova
  5. Fei Xia

Papers from Muhammad Asif Rana's perspective

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

Their papers