Hebert J Andrew Bagnell

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 74 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #3,587 of 21,575 by trust here, #10,010 by citations
• Artificial Intelligence — 7 citations into it
• Natural Language Processing — 5 citations into it; #1,582 of 5,688 by trust here, #3,107 by citations

Whom Hebert J Andrew Bagnell trusts overall

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

1. Yoshua Bengio
2. Martin J. Wainwright
3. Yann LeCun
4. Stéphane Ross
5. Geoffrey E. Hinton
6. Daniel Munoz
7. John D. Lafferty
8. Zhuowen Tu
9. Derek Hoiem
10. Alex Krizhevsky

Who trusts Hebert J Andrew Bagnell overall

1. J. Bagnell
2. Rasmus Berg Palm
3. Varun Ramakrishna
4. Vasileios Belagiannis
5. Andrew Bagnell
6. Falong Shen
7. Justin Bayer
8. Bram Wallace
9. Wen Sun
10. Bharath Hariharan

Papers from Hebert J Andrew Bagnell's perspective

Ordered by how strongly the researchers Hebert J Andrew Bagnell trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning message-passing inference machines for structured prediction (2011) — 122 citations