Ben Packer

Artificial Intelligence · 2007–2021

A researcher in the Science corpus: 5 papers; trusts 338 researchers and is trusted by 139 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it; #4,058 of 35,345 by trust here, #3,638 by citations
• Computer Vision and Pattern Recognition — 50 citations into it; #12,431 of 21,575 by trust here, #17,258 by citations
• Optimization & Training — 12 citations into it; #388 of 2,601 by trust here, #560 by citations
• Molecular Biology — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Ben Packer trusts overall

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

1. Pedro F. Felzenszwalb
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Kaiming He
5. Thorsten Joachims
6. Yann LeCun
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Ross B. Girshick
10. Navneet Dalal

Who trusts Ben Packer overall

1. Lu Jiang
2. Yoshua Bengio
3. Deyu Meng
4. Abhinav Kumar Gupta
5. Dingwen Zhang
6. Quoc V. Le
7. Liang Lin
8. Xinlei Chen
9. Dacheng Tao
10. Trevor Darrell

Papers from Ben Packer's perspective

Ordered by how strongly the researchers Ben Packer 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Self-taught learning: transfer learning from unlabeled data (2007) — 1,809 citations
• A combined pose, object, and feature model for action understanding (2012) — 65 citations
• Causally motivated shortcut removal using auxiliary labels (2021) — 84 citations
• Modeling Latent Variable Uncertainty for Loss-based Learning (2012) — 23 citations
• Self-Paced Learning for Latent Variable Models (2010) — 1,658 citations