Assi Barak

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Assi Barak trusts overall

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

  1. Marcel Keller
  2. Yehuda Lindell
  3. Ivan Bjerre Damgård
  4. Payman Mohassel
  5. Donald Beaver
  6. Matthieu Courbariaux
  7. Alex Krizhevsky
  8. Jun Furukawa
  9. Octavian Catrina
  10. Karen Simonyan

Who trusts Assi Barak overall

  1. Marcel Keller
  2. Nishant Kumar
  3. Zhicong Huang
  4. Mayank Rathee
  5. Deevashwer Rathee
  6. Yehuda Lindell
  7. Wen-jie Lu
  8. Nishanth Chandran

Papers from Assi Barak's perspective

Ordered by how strongly the researchers Assi Barak 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. Gradient-based learning applied to document recognition
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers