Ban Kawas

Artificial Intelligence · 2020

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 Ban Kawas trusts

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

  1. Yoshua Bengio (in Artificial Intelligence)
  2. Sarah Wiegreffe (in Artificial Intelligence)
  3. Kyunghyun Cho (in Artificial Intelligence)

Papers from Ban Kawas's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier

Their papers