Peyton Greenside

Molecular Biology · 2016–2017

A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 180 researchers here, as inferred from the citation graph.

Subfields

Whom Peyton Greenside trusts overall

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

  1. Matthew D. Zeiler
  2. Yann LeCun
  3. Diederik P. Kingma
  4. Sergey Ioffe
  5. Geoffrey E. Hinton
  6. Sepp Hochreiter
  7. Pouya Kheradpour
  8. Rob Fergus
  9. Yoshua Bengio
  10. Jimmy Ba

Who trusts Peyton Greenside overall

  1. Marco Ancona
  2. Scott M. Lundberg
  3. Wojciech Samek
  4. Mukund Sundararajan
  5. Reza Shokri
  6. Su-In Lee
  7. Ankur Taly
  8. Avanti Shrikumar
  9. Cengiz Oztireli
  10. Grgoire Montavon

Papers from Peyton Greenside's perspective

Ordered by how strongly the researchers Peyton Greenside 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers