Thomas Tanay

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 68 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Tanay trusts overall

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

  1. Ian J. Goodfellow
  2. Christian Szegedy
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Yann LeCun
  10. Sergey Ioffe

Who trusts Thomas Tanay overall

  1. Andrew Ilyas
  2. Naveed Akhtar
  3. Alhussein Fawzi
  4. Seyed-Mohsen Moosavi-Dezfooli
  5. Angus Galloway
  6. Arjun Nitin Bhagoji
  7. Shibani Santurkar
  8. Zeyuan Allen-Zhu
  9. Yujie Ji
  10. Ajmal Saeed Mian

Papers from Thomas Tanay's perspective

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

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

Their papers