Alexander I. Rudnicky

Artificial Intelligence · 1994–2023

A researcher in the Science corpus: 10 papers; trusts 66 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander I. Rudnicky trusts overall

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

  1. Frederick Jelinek
  2. Diederik P. Kingma
  3. Robert Tibshirani
  4. Geoffrey E. Hinton
  5. Philip Clarkson
  6. Yoshua Bengio
  7. Kaiming He
  8. J. Platt
  9. Jimmy Ba
  10. Ted Pedersen

Who trusts Alexander I. Rudnicky overall

  1. Tsung-Hsien Wen
  2. Ruhi Sarikaya
  3. Ondrej Dusek
  4. Ryan J. Lowe
  5. Milica Gasic
  6. Graeme Hirst
  7. Sebastian Gehrmann
  8. Jiwei Li
  9. Jason Aaron Edward Weston
  10. Braden Hancock

Papers from Alexander I. Rudnicky's perspective

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

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

Their papers