Oliver Schilter

Nature Machine Intelligence · 2023

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

Whom Oliver Schilter trusts overall

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

  1. Daniel M. Lowe

Papers from Oliver Schilter's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Improving Language Understanding by Generative Pre-Training
  6. Long Short-Term Memory
  7. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Gradient-based learning applied to document recognition

Their papers