Nicholas J. Schork

Molecular Biology · 2002–2019

A researcher in the Science corpus: 17 papers; trusts 16 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Nicholas J. Schork trusts overall

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

  1. James Franklin
  2. Benjamín Sánchez-Lengeling
  3. J. K. Pritchard
  4. Keith T. Butler
  5. David Reich
  6. Alán Aspuru-Guzik
  7. Bingshan Li
  8. David Silver
  9. D. Davies
  10. Eric S. Lander

Who trusts Nicholas J. Schork overall

  1. L. Goetz
  2. Chloé-Agathe Azencott
  3. Luís Pinto-Coelho
  4. A. Anselmo
  5. Shreelaxmi Gavas
  6. G. Hotamışlıgil
  7. A. Seyhan
  8. Feixiong Cheng

Papers from Nicholas J. Schork's perspective

Ordered by how strongly the researchers Nicholas J. Schork trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Long Short-Term Memory
  3. ImageNet: A large-scale hierarchical image database
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  7. Mastering the game of Go without human knowledge
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers