Ali Yahya

Reinforcement Learning · 2016

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Yahya trusts overall

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

  1. Sergey Levine
  2. Jan Peters
  3. Pieter Abbeel
  4. Marc Peter Deisenroth
  5. Stefan Schaal
  6. Yann LeCun
  7. Geoffrey E. Hinton
  8. J. Urgen Schmidhuber
  9. Richard S. Sutton
  10. Yoshua Bengio

Who trusts Ali Yahya overall

  1. Yuke Zhu
  2. Ahmed Hussain Qureshi
  3. Ali Ghadirzadeh
  4. Yuxi Li
  5. Abhinav Kumar Gupta
  6. Linxi (Jim) Fan
  7. Sergey Levine
  8. Avi Singh
  9. Dmitry Kalashnikov
  10. Yevgen Chebotar

Papers from Ali Yahya's perspective

Ordered by how strongly the researchers Ali Yahya 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. 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers