Eric Schulz

Artificial Intelligence · with Akata · 2016–2023

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Schulz trusts overall

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

  1. Christopher K. I. Williams
  2. Andrew Gordon Wilson
  3. Hirotugu Akaike
  4. Samuel J. Gershman
  5. Ali Rahimi
  6. Neil D. Lawrence
  7. Geoffrey E. Hinton
  8. David Kristjanson Duvenaud
  9. Radford M. Neal
  10. Diederik P. Kingma

Who trusts Eric Schulz overall

  1. Zhaoyi Xu
  2. Joseph Homer Saleh
  3. Joon Sung Park

Papers from Eric Schulz's perspective

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

Their papers