Anton Bakalov

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anton Bakalov trusts overall

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

  1. Geoffrey E. Hinton
  2. L. Eon Bottou
  3. Yoshua Bengio
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Michael Collins
  9. Kaiming He
  10. Radford M. Neal

Papers from Anton Bakalov's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers