Alexis Battle

Computer Vision and Pattern Recognition · 2006–2011

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 108 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 9 citations into it; #4,324 of 35,345 by trust here, #3,609 by citations
• Representation & Self-Supervised Learning — 9 citations into it; #309 of 3,145 by trust here, #249 by citations
• Cognitive Neuroscience — 6 citations into it; #593 of 10,852 by trust here, #803 by citations
• Computer Networks and Communications — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Alexis Battle trusts overall

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

1. Barbara Olshausen
2. Andrew Y. Ng
3. Muthu Dayalan
4. Bradley Efron
5. David J. Field
6. Patrik O. Hoyer
7. Tommi S. Jaakkola
8. Michael S. Lewicki
9. Li Fei-Fei
10. Geoffrey E. Hinton

Who trusts Alexis Battle overall

1. Yoshua Bengio
2. Quoc V. Le
3. Julien Mairal
4. Francis R. Bach
5. Honglak Lee
6. Qiang Yang
7. Marc'Aurelio Ranzato
8. Dacheng Tao
9. Shenghua Gao
10. Luc Van Gool

Papers from Alexis Battle's perspective

Ordered by how strongly the researchers Alexis Battle 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. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Self-taught learning: transfer learning from unlabeled data (2007) — 1,809 citations
• The jabberwocky programming environment for structured social computing (2011) — 144 citations
• Efficient sparse coding algorithms (2006) — 2,878 citations