Christopher P. Reale
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it; #25,923 of 35,345 by trust here, #33,294 by citations
- Computer Vision and Pattern Recognition — 24 citations into it
- Natural Language Processing — 22 citations into it
- Information Systems — 11 citations into it; #5,901 of 8,771 by trust here, #6,195 by citations
- Software — 9 citations into it
- Model Architectures — 5 citations into it; #1,689 of 2,278 by trust here, #2,215 by citations
Whom Christopher P. Reale trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Richard Socher
- Dzmitry Bahdanau
- Diederik P. Kingma
- Jacob Devlin
- Ilya Sutskever
- Christopher D. Manning
- Alex Krizhevsky
- Sepp Hochreiter
Who trusts Christopher P. Reale overall
Papers from Christopher P. Reale's perspective
Ordered by how strongly the researchers Christopher P. Reale trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data (2019) — 48 citations
- Learning to Repair Software Vulnerabilities with Generative Adversarial Networks (2018) — 83 citations