Mark Braverman

Artificial Intelligence · 2010–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Braverman trusts overall

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

  1. Tomas Mikolov
  2. J. Platt
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Alexandru Niculescu-Mizil
  7. Sam Wiseman
  8. Ilya Sutskever
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Mark Braverman overall

  1. Leighton Pate Barnes
  2. Yanjun Han
  3. Saber Salehkaleybar
  4. Jayadev Acharya
  5. Ayfer Özgür
  6. Arsalan Sharifnassab
  7. Jason D. Lee
  8. Matthew Joseph
  9. Jacob Steinhardt
  10. S. J. Golestani

Papers from Mark Braverman's perspective

Ordered by how strongly the researchers Mark Braverman 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers