Stanislav Beliaev

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 57 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Stanislav Beliaev trusts overall

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

  1. Paul Taylor
  2. Heiga Zen
  3. Kainan Peng
  4. Wei Ping
  5. Alex Graves
  6. Ryan J. Prenger
  7. Geoffrey E. Hinton
  8. Ashish Vaswani
  9. Adrian La'ncucki
  10. Sercan Ö. Arik

Who trusts Stanislav Beliaev overall

  1. Zhaoxi Mu
  2. Xu Tan
  3. Jonathan Shen
  4. Disong Wang
  5. Xinyu Yang
  6. Evelina Bakhturina
  7. Boris Ginsburg
  8. Tao Qin
  9. Yizhuo Dong
  10. Ye Jia

Papers from Stanislav Beliaev's perspective

Ordered by how strongly the researchers Stanislav Beliaev 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers