Michael Wiegand

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 49 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Wiegand trusts overall

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

  1. Zeerak Talat
  2. William Warner
  3. P. Burnap
  4. Dirk Hovy
  5. Anna Schmidt
  6. Sweta Agrawal
  7. Chikashi Nobata
  8. Paula Fortuna
  9. Pinkesh Badjatiya
  10. Mladen Karan

Who trusts Michael Wiegand overall

  1. Bertie Vidgen
  2. Svetlana Kiritchenko
  3. Tanmay Garg
  4. Valerio Basile
  5. Pushkar Mishra
  6. Isar Nejadgholi
  7. Thomas Mandl
  8. Ziqi Zhang
  9. Jelena Mitrović
  10. Tommaso Caselli

Papers from Michael Wiegand's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Efficient Estimation of Word Representations in Vector Space
  8. GloVe: Global Vectors for Word Representation
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers