Isaac Cowhey

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #16,991 of 35,345 by trust here, #3,384 by citations
• Natural Language Processing — 30 citations into it
• Evaluation & Benchmarks — 19 citations into it; #1,717 of 3,147 by trust here, #501 by citations
• Computer Science Applications — 5 citations into it

Whom Isaac Cowhey trusts overall

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

1. Minjoon Seo
2. Peter Clark
3. Jason Aaron Edward Weston
4. Johannes Welbl
5. Ernest Davis
6. Tushar Khot
7. Geoffrey E. Hinton
8. Oren Etzioni
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Isaac Cowhey overall

1. Vikas Yadav
2. Peter Clark
3. Tushar Khot
4. Marco Valentino
5. Xuezhi Wang
6. Sumithra Bhakthavatsalam
7. Daniel Khashabi
8. Kai Sun
9. Jason Wei
10. Yi Tay

Papers from Isaac Cowhey's perspective

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

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

Their papers

• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge (2018) — 5,112 citations
• When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024) — 153 citations