Johannes Kiesel

Annual Meeting of the Association for Computational Linguistics · 2009–2022

A researcher in the Science corpus: 4 papers; trusts 0 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Johannes Kiesel trusts overall

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

  1. Jeremy Howard
  2. Martin Potthast
  3. Tomas Mikolov
  4. Michele Banko
  5. Sebastian Ruder
  6. Geoffrey E. Hinton
  7. Yoon Kim
  8. Quoc V. Le
  9. Yoshua Bengio
  10. Gordon V. Cormack

Who trusts Johannes Kiesel overall

  1. Xinyi Zhou
  2. Iz Beltagy
  3. Konstantina Lazaridou
  4. Kai Shu
  5. Aydar Bulatov
  6. Xiang Dai
  7. Giannis Daras
  8. Yejin Bang
  9. Armen Aghajanyan
  10. Neema Kotonya

Papers from Johannes Kiesel's perspective

Ordered by how strongly the researchers Johannes Kiesel 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. GloVe: Global Vectors for Word Representation
  7. Language Models are Unsupervised Multitask Learners
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Efficient Estimation of Word Representations in Vector Space
  10. Gradient-based learning applied to document recognition

Their papers