I. Pearse

Nature and Landscape Conservation · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom I. Pearse trusts overall

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

  1. Geoffrey E. Hinton
  2. Hyung Jun Ahn
  3. Ruslan Salakhutdinov
  4. K. Burnham
  5. D. Kelly
  6. A. Agrawal
  7. David R. Anderson
  8. V. Sork
  9. Richard S. Ostfeld
  10. Daniel Simberloff

Who trusts I. Pearse overall

  1. R. Karban

Papers from I. Pearse's perspective

Ordered by how strongly the researchers I. Pearse 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers