Maxim Milakov

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Maxim Milakov trusts overall

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

  1. Blockin Blockin
  2. Ilya Sutskever
  3. Andriy Mnih
  4. Geoffrey E. Hinton
  5. Jacob Devlin
  6. Oriol Vinyals
  7. Yee Whye Teh
  8. Yoshua Bengio
  9. Shihao Ji
  10. Tomas Mikolov

Who trusts Maxim Milakov overall

  1. Tri Dao
  2. Hao Liu
  3. Matei A. Zaharia
  4. Daniel Y. Fu
  5. Pieter Abbeel

Papers from Maxim Milakov's perspective

Ordered by how strongly the researchers Maxim Milakov 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers