Tom Bosc

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Bosc trusts overall

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

  1. Yoshua Bengio
  2. James Bergstra
  3. Geoffrey E. Hinton
  4. Trevor J. M. Bench-Capon
  5. J. Urgen Schmidhuber
  6. Sepp Hochreiter
  7. Ilya Sutskever
  8. Sergey Ioffe
  9. Tomas Mikolov
  10. Hugo Larochelle

Who trusts Tom Bosc overall

  1. John Lawrence
  2. Debajyoti Chatterjee
  3. Chris Reed
  4. Dirk Weissenborn

Papers from Tom Bosc's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers