Seth Hampson

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 144 researchers here, as inferred from the citation graph.

Subfields

Whom Seth Hampson trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Benjamin Graham
  4. Sergey Ioffe

Who trusts Seth Hampson overall

  1. Jianyu Wang
  2. Chaoyang He
  3. Tian Li
  4. Cong Xie
  5. Jihong Park
  6. Lichao Sun
  7. Virginia Smith
  8. Xiang Li
  9. Jakub Konecný
  10. Zachary B. Charles

Papers from Seth Hampson's perspective

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

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

Their papers