Hop Attention
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it
- Natural Language Processing — 21 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Information Retrieval & Search — 6 citations into it
Whom Hop Attention trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paolo Ferragina
- Yoshua Bengio
- Danqi Chen
- Ashish Vaswani
- Yixin Nie
- Geoffrey E. Hinton
- Zhilin Yang
- Diederik P. Kingma
- Ilya Sutskever
- Ming Ding
Who trusts Hop Attention overall
Papers from Hop Attention's perspective
Ordered by how strongly the researchers Hop Attention trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)