Elijah Mayfield
Artificial Intelligence · 2010–2020
A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it
- Natural Language Processing — 48 citations into it
- Safety, Robustness & Interpretability — 47 citations into it
- History and Philosophy of Science — 12 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Information Systems — 9 citations into it
- Sociology and Political Science — 9 citations into it
Whom Elijah Mayfield trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James F. Woodward
- Bo Pang
- Alexandra Chouldechova
- Michael Strevens
- Theresa Wilson
- Collin Rice
- Keith A. Markus
- Yoshua Bengio
- Geoffrey E. Hinton
- Wei Xu
Who trusts Elijah Mayfield overall
Papers from Elijah Mayfield's perspective
Ordered by how strongly the researchers Elijah Mayfield 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- 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
Their papers
- Why Attention is Not Explanation: Surgical Intervention and Causal Reasoning about Neural Models (2020) — 50 citations
- Principled Frameworks for Evaluating Ethics in NLP Systems (2019) — 8 citations
- Equity Beyond Bias in Language Technologies for Education (2019) — 46 citations
- Sentiment Classification using Automatically Extracted Subgraph Features (2010) — 54 citations