Timothy N. Rubin

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #34,847 of 35,345 by trust here, #30,347 by citations
• Information Systems — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Timothy N. Rubin trusts overall

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

1. David M. Blei
2. Grigorios Tsoumakas
3. T. Griffiths
4. Fabrizio Sebastiani
5. George Forman
6. Michael I. Jordan
7. Naonori Ueda
8. David Mimno
9. Liangliang Cao
10. Ryan M. Rifkin

Who trusts Timothy N. Rubin overall

1. Ayan Acharya
2. Min-Ling Zhang
3. Raymond J. Mooney

Papers from Timothy N. Rubin's perspective

Ordered by how strongly the researchers Timothy N. Rubin 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Statistical topic models for multi-label document classification (2011) — 354 citations