Travis A. Dyer

Accounting · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Travis A. Dyer trusts overall

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

  1. Tim Loughran
  2. David M. Blei
  3. Feng Li
  4. Bill McDonald
  5. Mark H. Lang
  6. John Gallemore
  7. Robert J. Bloomfield
  8. Michael I. Jordan
  9. Andrew Y. Ng
  10. Lorien Stice‐Lawrence

Who trusts Travis A. Dyer overall

  1. Khrystyna Bochkay
  2. Jeffrey Hales

Papers from Travis A. Dyer's perspective

Ordered by how strongly the researchers Travis A. Dyer trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Latent Dirichlet Allocation
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers