Rob Voigt

Artificial Intelligence · 2017–2018

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

Subfields

Whom Rob Voigt trusts overall

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

  1. Daniel Lüdecke
  2. Shane Bergsma
  3. Herbert H. Clark
  4. Christopher D. Manning
  5. R. Lakoff
  6. Dekang Lin
  7. Tom Tyler
  8. D. W. Sue
  9. James J. Butler
  10. A. Greenwald

Who trusts Rob Voigt overall

  1. Vinodkumar Prabhakaran
  2. Ben Hutchinson
  3. Anjalie Field
  4. Karolina Stańczak
  5. Yulia Tsvetkov
  6. Akhilesh Sudhakar
  7. Sachin Kumar
  8. Aman Madaan
  9. Isabelle Augenstein
  10. Bhargav Upadhyay

Papers from Rob Voigt's perspective

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

  1. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
  2. The Stanford CoreNLP Natural Language Processing Toolkit
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Bootstrapping Path-Based Pronoun Resolution
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers