Jacob Donley

Signal Processing · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Donley trusts overall

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

  1. Joon Son Chung
  2. Cees H. Taal
  3. Emmanuel Vincent
  4. Andrew Zisserman
  5. Shinji Watanabe
  6. Jesper Højvang Jensen
  7. Geoffrey E. Hinton
  8. Joseph Redmon
  9. Jon Barker
  10. Adrian Bulat

Who trusts Jacob Donley overall

  1. Wei-Ning Hsu

Papers from Jacob Donley's perspective

Ordered by how strongly the researchers Jacob Donley 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers