Vadim Borisov

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vadim Borisov trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Alec Radford
  5. Diederik P. Kingma
  6. Kaiming He
  7. Ilya Sutskever
  8. Yann LeCun
  9. Jerome H. Friedman
  10. Alex Graves

Who trusts Vadim Borisov overall

  1. Stefan Hegselmann
  2. Léo Grinsztajn
  3. Noah Hollmann
  4. Duncan C. McElfresh
  5. Edouard Oyallon
  6. Samuel G. Müller
  7. Hunter Lang

Papers from Vadim Borisov's perspective

Ordered by how strongly the researchers Vadim Borisov 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  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