Jarrid Rector-Brooks

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jarrid Rector-Brooks trusts overall

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

  1. Elad Hazan
  2. Simon Lacoste-Julien
  3. Guanghui Lan
  4. Martin Jaggi
  5. Dan Garber
  6. Seyoung Kim
  7. Yurii E. Nesterov
  8. F. Maxwell Harper
  9. B. Recht
  10. Geoffrey E. Hinton

Who trusts Jarrid Rector-Brooks overall

  1. Thomas Kerdreux

Papers from Jarrid Rector-Brooks's perspective

Ordered by how strongly the researchers Jarrid Rector-Brooks 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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