Tanner Fiez

Management Science and Operations Research · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Tanner Fiez trusts overall

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

  1. Gugan Thoppe
  2. Vivek Shripad Borkar
  3. Chi Jin
  4. Lars M. Mescheder
  5. Michael I. Jordan
  6. Michael L. Littman
  7. Luke Metz
  8. John M. Lee
  9. Panayotis Mertikopoulos
  10. Individualized Treat

Who trusts Tanner Fiez overall

  1. Kaiqing Zhang
  2. Yuanhao Wang
  3. Zhuoran Yang
  4. Guodong Zhang

Papers from Tanner Fiez's perspective

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

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

Their papers