Bryan Rink

Artificial Intelligence · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Bryan Rink trusts overall

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

  1. Peter D. Turney
  2. Thorsten Joachims
  3. Chih-Jen Lin
  4. Dekang Lin
  5. Alan R. Aronson
  6. David Hilton Wolpert
  7. Marie-Catherine de Marneffe
  8. David Jurgens
  9. Ozlem Uzuner
  10. Rong-En Fan

Who trusts Bryan Rink overall

  1. Wen-tau Yih
  2. Ignacio Iacobacci
  3. Yuan Luo
  4. Weize Chen
  5. Alisa Zhila
  6. Mohammad Taher Pilehvar
  7. Tomas Mikolov
  8. Christopher Meek
  9. Hao Zhu
  10. Roberto Navigli

Papers from Bryan Rink's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. LIBSVM: A library for support vector machines
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. LIBLINEAR: A Library for Large Linear Classification
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers