S. Schoch

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Schoch trusts overall

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

  1. Hunter Gehlbach
  2. Jesse Dodge
  3. Timnit Gebru
  4. Margaret Mitchell
  5. Ehud Reiter
  6. Jekaterina Novikova
  7. Anya Belz
  8. Scott Barge
  9. Tal Linzen
  10. Suchin Gururangan

Papers from S. Schoch's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Model Cards for Model Reporting
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Bleu: a Method for Automatic Evaluation of Machine Translation
  10. Gradient-based learning applied to document recognition

Their papers