Tyson R. Browning

Strategy and Management · 2001–2016

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Tyson R. Browning trusts overall

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

  1. Charu C. Aggarwal
  2. Carliss Y. Baldwin
  3. Kathleen M. Eisenhardt
  4. Alan MacCormack
  5. Neeraj Sangal
  6. Wallace J. Hopp
  7. Herbert A. Simon
  8. Steven D. Eppinger
  9. Sebastian K. Fixson
  10. John Rusnak

Who trusts Tyson R. Browning overall

  1. Soo-Haeng Cho
  2. Joaquim R. Martins
  3. Andrew B. Lambe
  4. S. Shan
  5. Sangjin Jung
  6. Katja Hölttä
  7. Steven D. Eppinger
  8. Neeraj Sangal
  9. Mustafa Suphi Erden
  10. G. G. Wang

Papers from Tyson R. Browning's perspective

Ordered by how strongly the researchers Tyson R. Browning 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers