Kendrick Boyd

Artificial Intelligence · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #22,005 of 35,345 by trust here, #23,731 by citations
• Information Systems — 7 citations into it

Whom Kendrick Boyd trusts overall

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

1. Jesse Davis
2. M. Pepe
3. Mark H. Goadrich
4. Ilya Sutskever
5. Yisong Yue
6. Sriraam Natarajan
7. Ruslan Salakhutdinov
8. Stuart Barber
9. Thomas Finley
10. Tushar Khot

Who trusts Kendrick Boyd overall

1. Faruk Ahmed
2. Seyed Sadegh Mohseni Salehi
3. Aaron C. Courville
4. Deniz Erdoğmuş
5. A. D'Amour

Papers from Kendrick Boyd's perspective

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

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

Their papers

• Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation (2012) — 121 citations
• Area under the Precision-Recall Curve: Point Estimates and Confidence Intervals (2013) — 525 citations