Elmar Haussmann

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Elmar Haussmann trusts overall

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

  1. Jonathan Berant
  2. Mark Steedman
  3. Angel X. Chang
  4. Christopher D. Manning
  5. Xuchen Yao
  6. Qingqing Cai
  7. Valentin I. Spitkovsky
  8. Percy Liang
  9. C. Burges
  10. Tom Kwiatkowski

Who trusts Elmar Haussmann overall

  1. Siva Reddy
  2. Bo Chen
  3. Jianpeng Cheng
  4. Abdalghani Abujabal
  5. Wen-tau Yih
  6. Kun Xu
  7. Shuang Chen
  8. Hongyu Ren
  9. Xianpei Han

Papers from Elmar Haussmann's perspective

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

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

Their papers