Vladimir Mikulik

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 7 papers; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Vladimir Mikulik trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Paul Christiano
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Alex Graves
  8. Alec Radford
  9. Yann LeCun
  10. Tom Everitt

Who trusts Vladimir Mikulik overall

  1. Richard Ngo

Papers from Vladimir Mikulik's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers