Ben Goodrich

Natural Language Processing · with Duckworth · 2018–2019

A researcher in the Science corpus: 5 papers; trusts 78 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Goodrich trusts overall

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

  1. Ashish Vaswani
  2. Chin-Yew Lin
  3. Noam Shazeer
  4. Makoto Miwa
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Christopher D. Manning
  10. Oriol Vinyals

Who trusts Ben Goodrich overall

  1. Vidhisha Balachandran
  2. Wojciech Kryscinski
  3. Alex Wang
  4. Esin Durmus
  5. Artidoro Pagnoni
  6. Joshua Maynez
  7. Mengyao Cao
  8. Zhiyuan Zeng
  9. Wenhu Chen
  10. Or Honovich

Papers from Ben Goodrich's perspective

Ordered by how strongly the researchers Ben Goodrich 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  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