Martin Müller

Natural Language Processing · with Kummervold · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Müller trusts overall

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

  1. Bo Pang
  2. Jacob Devlin
  3. Ashish Vaswani
  4. Zhenzhong Lan
  5. Yinhan Liu
  6. Lillian Lee
  7. Ming-Wei Chang
  8. Noam Shazeer
  9. Geoffrey E. Hinton
  10. Iz Beltagy

Who trusts Martin Müller overall

  1. Diksha Khurana
  2. Kai He
  3. Aditya Koli

Papers from Martin Müller's perspective

Ordered by how strongly the researchers Martin Müller 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers