Hannah Bast

Artificial Intelligence · 2015

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Hannah Bast 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. Peter Sanders
  9. Percy Liang
  10. C. Burges

Who trusts Hannah Bast 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
  10. Ekim Yurtsever

Papers from Hannah Bast's perspective

Ordered by how strongly the researchers Hannah Bast 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. ImageNet classification with deep convolutional neural networks
  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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers