Robyn Speer

Artificial Intelligence · 2008–2016

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 163 researchers here, as inferred from the citation graph.

Subfields

Whom Robyn Speer trusts overall

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

  1. Peter D. Turney
  2. Catherine Havasi
  3. Taku Kudo
  4. Siddharth Patwardhan
  5. Ian H. Witten
  6. Jason B. Alonso
  7. Sören Auer
  8. Thang Luong
  9. Elia Bruni
  10. Michele Banko

Who trusts Robyn Speer overall

  1. Alon Talmor
  2. Minlie Huang
  3. Bill Yuchen Lin
  4. Guohao Li
  5. Jian Guan
  6. Yejin Choi
  7. Xiang Lorraine Li
  8. Chenguang Zhu
  9. Todor Mihaylov
  10. Antoine Bosselut

Papers from Robyn Speer's perspective

Ordered by how strongly the researchers Robyn Speer 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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