Wyeth W. Wasserman

Molecular Biology · 2000–2023

A researcher in the Science corpus: 23 papers; trusts 80 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Wyeth W. Wasserman trusts overall

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

  1. Martin C. Frith
  2. Geoffrey E. Hinton
  3. Albin Sandelin
  4. Gary D. Stormo
  5. Robert Tibshirani
  6. Artemis G. Hatzigeorgiou
  7. Yoshua Bengio
  8. Boris Lenhard
  9. Yann LeCun
  10. Stephen F. Altschul

Who trusts Wyeth W. Wasserman overall

  1. Yifeng Li
  2. Ge Tan
  3. Boris Lenhard
  4. Piotr J. Balwierz
  5. Albin Sandelin
  6. Wenqiang Shi
  7. Aziz Khan
  8. Phil Hyoun Lee
  9. Gregory A. Wray
  10. Oriol Fornes

Papers from Wyeth W. Wasserman's perspective

Ordered by how strongly the researchers Wyeth W. Wasserman trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers