D. Fuhry

Artificial Intelligence · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #27,621 of 35,345 by trust here, #23,077 by citations
• Molecular Biology — 8 citations into it
• Statistical and Nonlinear Physics — 7 citations into it; #7,585 of 10,127 by trust here, #7,747 by citations
• Natural Language Processing — 5 citations into it

Whom D. Fuhry trusts overall

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

1. Moses Charikar
2. T. Griffiths
3. George Karypis
4. David A. Cohn
5. Igor Ulitsky
6. David M. Blei
7. Shenghuo Zhu
8. Yuanyuan Tian
9. Wei Tang
10. Andrei Z. Broder

Who trusts D. Fuhry overall

1. Jaewon Yang
2. Yixiang Fang
3. Cécile Bothorel

Papers from D. Fuhry's perspective

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

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

Their papers

• Efficient community detection in large networks using content and links (2012) — 332 citations
• Short text classification in twitter to improve information filtering (2010) — 885 citations