Zafarali Ahmed

Reinforcement Learning · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zafarali Ahmed trusts overall

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

  1. Ronald J. Williams
  2. John Schulman
  3. Richard S. Sutton
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Sham M. Kakade
  7. Yoshua Bengio
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Volodymyr Mnih

Who trusts Zafarali Ahmed overall

  1. Guillaume Matheron
  2. Yijie Guo
  3. Alekh Agarwal
  4. Nicolas Perrin
  5. Nicolas Le Roux
  6. Milena Rmus

Papers from Zafarali Ahmed's perspective

Ordered by how strongly the researchers Zafarali Ahmed 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. 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. ImageNet Large Scale Visual Recognition Challenge

Their papers