E. J. Husom

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom E. J. Husom trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Emma Strubell
2. Lasse F. Wolff Anthony
3. Loïc Lannelongue
4. Yuvanesh Anand
5. Ilya Sutskever
6. Ananya Ganesh
7. Benjamin Kanding
8. Jason Grealey

Papers from E. J. Husom's perspective

Ordered by how strongly the researchers E. J. Husom trusts endorse each paper. Same corpus, a different order for every researcher.

1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Price of Prompting: Profiling Energy Use in Large Language Models Inference (2024)