Peter J. Keegan
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Natural Language Processing — 12 citations into it
Whom Peter J. Keegan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Peter J. Keegan's perspective
Ordered by how strongly the researchers Peter J. Keegan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Dropout: a simple way to prevent neural networks from overfitting
- ImageNet classification with deep convolutional neural networks
- Efficient Estimation of Word Representations in Vector Space
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images