Liam Paull

Computer Vision and Pattern Recognition · 2014–2023

A researcher in the Science corpus: 10 papers; trusts 357 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Liam Paull trusts overall

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

  1. Edwin Olson
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Sebastian Thrun
  7. David G. Lowe
  8. Yann LeCun
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Liam Paull overall

  1. Mohammad Jahanbakht
  2. Jorge Armando Mendez Mendez
  3. Krishnan Raghavan
  4. Wei Xiang

Papers from Liam Paull's perspective

Ordered by how strongly the researchers Liam Paull 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers