Aedan Pope

Computer Vision and Pattern Recognition · 2019–2025

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aedan Pope trusts

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

  1. Muthu Dayalan (in ML Systems & Hardware)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Aedan Pope's perspective

Ordered by how strongly the researchers Aedan Pope 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. Going deeper with convolutions
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. GENERATIVE ADVERSARIAL NETS
  6. Human-level control through deep reinforcement learning
  7. Asynchronous Methods for Deep Reinforcement Learning
  8. Improved Techniques for Training GANs
  9. Large Scale Distributed Deep Networks
  10. WaveNet: A Generative Model for Raw Audio

Their papers