Julia Proskurnia

Artificial Intelligence · 2020–2025

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

Subfields

Whom Julia Proskurnia trusts overall

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

  1. Jiatao Gu

Who trusts Julia Proskurnia overall

  1. Chitwan Saharia
  2. William Chan

Papers from Julia Proskurnia's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers