Vitaliy Liptchinsky

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 11 papers; trusts 282 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Vitaliy Liptchinsky trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ronan Collobert
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Daniel Povey
  9. Kaiming He
  10. Yann LeCun

Who trusts Vitaliy Liptchinsky overall

  1. Ronan Collobert
  2. Vineel Pratap
  3. Qiantong Xu
  4. Gabriel Synnaeve
  5. Tatiana Likhomanenko
  6. Awni Y. Hannun
  7. Neil Zeghidour
  8. Alexei Baevski
  9. Julian Salazar
  10. Shuang Ma

Papers from Vitaliy Liptchinsky's perspective

Ordered by how strongly the researchers Vitaliy Liptchinsky 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. Long Short-Term Memory
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers