Amy Nicole Langville

Artificial Intelligence · 2004–2007

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #8,123 of 35,345 by trust here, #14,438 by citations
• Information Systems — 18 citations into it; #871 of 8,771 by trust here, #2,013 by citations
• Statistical and Nonlinear Physics — 18 citations into it
• Computational Theory and Mathematics — 11 citations into it; #4,721 of 12,182 by trust here, #2,060 by citations
• Computer Networks and Communications — 11 citations into it
• Signal Processing — 8 citations into it; #1,028 of 7,572 by trust here, #2,114 by citations
• Computer Vision and Pattern Recognition — 6 citations into it; #9,674 of 21,575 by trust here, #8,409 by citations
• Information Retrieval & Search — 5 citations into it

Whom Amy Nicole Langville trusts overall

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

1. Jon M. Kleinberg
2. Sepandar D. Kamvar
3. Ronny Lempel
4. Grace E. Cho
5. Carl Dean Meyer
6. Taher H. Haveliwala
7. Alice X. Zheng
8. David A. Cohn
9. Monica Bianchini
10. Paolo Boldi

Who trusts Amy Nicole Langville overall

1. Pavel Berkhin
2. Zoltán Gyöngyi
3. Marco Gori
4. Oliver Mason
5. Bahman Bahmani
6. Minsu Cho
7. Ahmet Iscen
8. Qiang Cao
9. Lin-Shan Lee
10. Martin Rosvall

Papers from Amy Nicole Langville's perspective

Ordered by how strongly the researchers Amy Nicole Langville 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Authoritative sources in a hyperlinked environment
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Algorithms and applications for approximate nonnegative matrix factorization (2007) — 1,648 citations
• Deeper Inside PageRank (2004) — 1,033 citations
• A Survey of Eigenvector Methods for Web Information Retrieval (2005) — 531 citations
• The life and work of A.A. Markov (2004) — 158 citations