Valentin I. Spitkovsky

Artificial Intelligence · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Valentin I. Spitkovsky trusts overall

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

  1. George A. Miller
  2. Michael Collins
  3. James K. Baker
  4. Daniel Klein
  5. Fabian M. Suchanek
  6. Stan Salvador
  7. Mitchell P. Marcus
  8. Peter F. Brown
  9. Ryan T. McDonald
  10. Christopher D. Manning

Who trusts Valentin I. Spitkovsky overall

  1. Sameer Singh
  2. Hannah Bast
  3. Nitish Gupta
  4. Chenguang Wang
  5. Xiao Ling
  6. Ander Barrena
  7. Jeffrey Dalton
  8. Yi Yang
  9. Kawin Ethayarajh
  10. Trevor Cohn

Papers from Valentin I. Spitkovsky's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers