Erin Renshaw

Natural Language Processing · 2005–2013

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 188 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 19 citations into it; #626 of 5,688 by trust here, #1,038 by citations
• Artificial Intelligence — 14 citations into it; #1,512 of 35,345 by trust here, #2,278 by citations
• Statistics and Probability — 6 citations into it

Whom Erin Renshaw trusts overall

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

1. Jerome H. Friedman
2. Efstathios Stamatatos
3. Eric R. Ziegel
4. C. Burges
5. Luke S. Zettlemoyer
6. Asher Stern
7. Silviu Cucerzan
8. Eugene Grois
9. Justin J. Kavanagh

Who trusts Erin Renshaw overall

1. Mrinmaya Sachan
2. Olivier Chapelle
3. Peter Clark
4. Jason Aaron Edward Weston
5. Jianfeng Gao
6. Hang Li
7. Mohit Bansal
8. Wenpeng Yin
9. Minghao Hu
10. Eric P. Xing

Papers from Erin Renshaw's perspective

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

1. Deep Read: A Reading Comprehension System
2. The Elements of Statistical Learning
3. Greedy function approximation: A gradient boosting machine.
4. Signature Verification Using A "Siamese" Time Delay Neural Network
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Learning to Parse Database Queries Using Inductive Logic Programming
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Classification by Pairwise Coupling

Their papers

• MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text (2013) — 771 citations
• Learning to rank using gradient descent (2005) — 3,228 citations
• Full body gait analysis with Kinect (2012) — 358 citations