Michael J. Taylor

Information Systems · 2004–2009

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J. Taylor trusts overall

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

  1. C. Burges
  2. Koby Crammer
  3. Kalervo Järvelin
  4. Wei Chu
  5. Yoram Singer
  6. Zoubin Ghahramani
  7. Thorsten Joachims
  8. Jaana Kekäläinen
  9. Robert J. Ragno
  10. Quoc V. Le

Who trusts Michael J. Taylor overall

  1. Olivier Chapelle
  2. Hang Li
  3. Tao Qin
  4. Tie-Yan Liu
  5. Nicolas Usunier
  6. Maksims Volkovs
  7. Yi Chang
  8. Clément Calauzènes
  9. Masrour Zoghi
  10. Aman Agarwal

Papers from Michael J. Taylor's perspective

Ordered by how strongly the researchers Michael J. Taylor 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning to rank using gradient descent
  9. Pranking with Ranking (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers