Valentina Semenova

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Valentina Semenova trusts overall

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

  1. Jure Leskovec
  2. William L. Hamilton
  3. Jiliang Tang
  4. Aditya Grover
  5. Jacob Devlin
  6. Geoffrey E. Hinton
  7. Dan Huttenlocher
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Tyler Derr

Papers from Valentina Semenova's perspective

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

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

Their papers