Mekhail Mustak

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mekhail Mustak trusts overall

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

  1. David M. Blei
  2. Hanna M. Wallach
  3. Chong Wang
  4. Yanshuai Cao
  5. David Andrzejewski
  6. Paul Benjamin Lowry
  7. Sergey I. Nikolenko
  8. Carina Jacobi
  9. David Chan
  10. Anna C. Belkina

Papers from Mekhail Mustak's perspective

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

Their papers