Tom Bocklisch

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Bocklisch trusts overall

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

  1. Antoine Bordes
  2. Dan Bohus
  3. Jeffrey Pennington
  4. Armand Joulin
  5. Jason Aaron Edward Weston
  6. Richard Socher
  7. Tsung-Hsien Wen
  8. Yoshua Bengio
  9. Tomas Mikolov
  10. Geoffrey E. Hinton

Who trusts Tom Bocklisch overall

  1. Aris Leivadeas
  2. Vladimir Vlasov
  3. Traian Rebedea
  4. Baolin Peng
  5. Matthias Falkner
  6. Raefer Gabriel
  7. Stephen Roller
  8. Johannes E. M. Mosig
  9. Chandra Khatri

Papers from Tom Bocklisch's perspective

Ordered by how strongly the researchers Tom Bocklisch 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. GloVe: Global Vectors for Word Representation

Their papers