Hannah K. Wayment-Steele

Molecular Biology · 2014–2023

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hannah K. Wayment-Steele trusts overall

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

  1. Sergey Ovchinnikov
  2. Duccio Malinverni
  3. Faruck Morcos
  4. José N. Onuchic
  5. Kathryn Tunyasuvunakool
  6. Woonghee Lee
  7. Ivan V. Anishchenko
  8. Frank No'e
  9. Lauren L. Porter
  10. Alexandros Stamatakis

Who trusts Hannah K. Wayment-Steele overall

  1. Björn Wallner
  2. Davide Sala
  3. Peter W. Hildebrand

Papers from Hannah K. Wayment-Steele's perspective

Ordered by how strongly the researchers Hannah K. Wayment-Steele 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  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