Alex Holub

Artificial Intelligence · 2006–2008

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 410 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #22,707 of 35,345 by trust here, #25,809 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #2,379 of 21,575 by trust here, #10,905 by citations
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Alex Holub trusts overall

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

1. David G. Lowe
2. Geoffrey E. Hinton
3. Simon Tong
4. Michael I. Jordan
5. Sam T. Roweis
6. Thomas Hofmann
7. H. Sebastian Seung
8. Max Welling
9. Rob Fergus
10. Ashish Kapoor

Who trusts Alex Holub overall

1. Ruslan Salakhutdinov
2. Yarin Gal
3. Andrew Zisserman
4. Lingxi Xie
5. Antonio Torralba
6. Jia Deng
7. Yoshua Bengio
8. Andrea Vedaldi
9. Trevor Darrell
10. Alan L. Yuille

Papers from Alex Holub's perspective

Ordered by how strongly the researchers Alex Holub 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. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The rate adapting poisson model for information retrieval and object recognition (2006) — 117 citations
• Entropy-based active learning for object recognition (2008) — 326 citations
• Caltech-256 Object Category Dataset (2007) — 2,926 citations