Daniel Peter Berrar

Molecular Biology · 2003–2019

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Peter Berrar trusts overall

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

  1. David D. Lewis
  2. David E. Heckerman
  3. Gregory F. Cooper
  4. David Ruppert
  5. Finn Verner Jensen
  6. Yann LeCun
  7. K. Y. Yeung
  8. Trevor J. Hastie
  9. Nir Friedman
  10. Robert Tibshirani

Papers from Daniel Peter Berrar's perspective

Ordered by how strongly the researchers Daniel Peter Berrar 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. Gradient-based learning applied to document 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. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers