Tim G. J. Rudner

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 5 papers; trusts 114 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tim G. J. Rudner trusts overall

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

  1. Geoffrey E. Hinton
  2. Richard S. Sutton
  3. Diederik P. Kingma
  4. Radford M. Neal
  5. Yoshua Bengio
  6. Lehel Csató
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Ronald J. Williams
  10. Alex Graves

Who trusts Tim G. J. Rudner overall

  1. Shimon Whiteson
  2. Wendelin Böhmer
  3. Chongjie Zhang
  4. Tabish Rashid

Papers from Tim G. J. Rudner's perspective

Ordered by how strongly the researchers Tim G. J. Rudner 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. 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. 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