Jesse Davis

Artificial Intelligence · with Bekker · 2009–2018

A researcher in the Science corpus: 6 papers; trusts 50 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #8,956 of 35,345 by trust here, #13,760 by citations
• Probabilistic & Bayesian Methods — 13 citations into it
• Information Systems — 12 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Natural Language Processing — 5 citations into it
• Signal Processing — 5 citations into it

Whom Jesse Davis trusts overall

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

1. Charles Peter Elkan
2. Matthew Richardson
3. Marthinus Christoffel du Plessis
4. Pedro M. Domingos
5. Fantine Mordelet
6. B. Liu
7. Donald B. Rubin
8. Hwanjo Yu
9. J. Platt
10. Wee Sun Lee

Who trusts Jesse Davis overall

1. Qiang Yang
2. Jan Van Haaren
3. Raksha Kumaraswamy
4. Tatiana Tommasi
5. Meng Fang
6. Andrey Kolobov
7. Phillip Odom
8. Francesco Orabona
9. Jie Yin
10. Jingkang Yang

Papers from Jesse Davis's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation (2012) — 121 citations
• Deep transfer via second-order Markov logic (2009) — 249 citations
• Learning relational dependency networks in hybrid domains (2015) — 25 citations
• Learning from positive and unlabeled data: a survey (2018) — 706 citations
• Solving Probability Problems in Natural Language (2017) — 22 citations
• TODTLER: Two-Order-Deep Transfer Learning (2015) — 38 citations