Anton Tsitsulin

Artificial Intelligence · 2020–2025

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 Tsitsulin trusts overall

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

  1. Mark Newman
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Jure Leskovec
  5. Weihua Hu
  6. Rex Ying
  7. Diederik P. Kingma
  8. Michael U Gutmann
  9. Alex Krizhevsky
  10. Peter J. Bickel

Papers from Anton Tsitsulin's perspective

Ordered by how strongly the researchers Anton Tsitsulin 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers