A. Sahn

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom A. Sahn trusts overall

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

  1. Sebastian Ruder
  2. Mark R. Wilson

Papers from A. Sahn's perspective

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

  1. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  2. An Overview of Multi-Task Learning in Deep Neural Networks
  3. Constructing Measures: An Item Response Modeling Approach
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet classification with deep convolutional neural networks
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers