Peter Gorniak

Information Systems · 2005–2016

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Gorniak trusts overall

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

  1. Daniel Klein
  2. Christopher D. Manning
  3. Ruslan Salakhutdinov
  4. Yehuda Koren

Who trusts Peter Gorniak overall

  1. Raymond J. Mooney
  2. David L. Chen
  3. S. Branavan

Papers from Peter Gorniak's perspective

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

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

Their papers