David Cossock

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #8,105 of 35,345 by trust here, #20,836 by citations
• Information Retrieval & Search — 6 citations into it; #231 of 1,022 by trust here, #621 by citations
• Statistics and Probability — 6 citations into it

Whom David Cossock trusts overall

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

1. Eric R. Ziegel
2. Kalervo Järvelin
3. James A. Hanley
4. William W. Cohen
5. C. Burges
6. Tong Zhang
7. Robert E. Schapire
8. Jaana Kekäläinen
9. Peter L. Bartlett
10. Thorsten Joachims

Who trusts David Cossock overall

1. Jun Yu
2. Olivier Chapelle
3. John C. Duchi
4. Shivani Agarwal
5. David Buffoni
6. Ze Yang
7. Harish Guruprasad Ramaswamy
8. Yining Wang
9. Clément Calauzènes
10. Dacheng Tao

Papers from David Cossock's perspective

Ordered by how strongly the researchers David Cossock 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Generalized Linear Models
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Statistical Analysis of Bayes Optimal Subset Ranking (2008) — 177 citations