Bernard J. Koch

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bernard J. Koch trusts overall

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

  1. Kenneth Ward Church
  2. David Schlangen
  3. George Deltas
  4. Michael Smithson
  5. Han Xiao
  6. Timnit Gebru
  7. Lucas Beyer
  8. Dimitris Tsipras
  9. Kuansan Wang
  10. Geoffrey E. Hinton

Papers from Bernard J. Koch's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers