Conor Durkan

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 8 papers; trusts 583 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Conor Durkan trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Radford M. Neal
  6. Yoshua Bengio
  7. George Papamakarios
  8. Yann LeCun
  9. Yang Song
  10. Laurent Dinh

Who trusts Conor Durkan overall

  1. Arash Vahdat
  2. Michael S. Albergo
  3. George Papamakarios
  4. Dongjun Kim
  5. Chin-Wei Huang
  6. Diederik P. Kingma
  7. Jaehyeon Kim
  8. Sam Bond-Taylor
  9. Karsten Kreis
  10. Valentin De Bortoli

Papers from Conor Durkan's perspective

Ordered by how strongly the researchers Conor Durkan 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers