Michael Stephen Saxon
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Natural Language Processing — 22 citations into it
- Evaluation & Benchmarks — 19 citations into it
- Information Systems — 5 citations into it
Whom Michael Stephen Saxon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Michael Stephen Saxon's perspective
Ordered by how strongly the researchers Michael Stephen Saxon trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database