Benjamin Snyder

Artificial Intelligence · 2004–2008

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Snyder trusts overall

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

  1. Radford M. Neal
  2. Peter D. Turney
  3. Koby Crammer
  4. Bo Pang
  5. Daniel Marcu
  6. Hong Yu
  7. Mathias Creutz
  8. Justin Basilico
  9. Kushal Dave
  10. Yoram Singer

Who trusts Benjamin Snyder overall

  1. Roberto Navigli
  2. David L. Chen
  3. Rada Mihalcea
  4. Ivan Titov
  5. Anindya Ghose
  6. Percy Liang
  7. Eneko Agirre
  8. Bo Pang
  9. Shangfeng Hu
  10. Julian McAuley

Papers from Benjamin Snyder's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers