Michael C. Kampffmeyer

Artificial Intelligence · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Michael C. Kampffmeyer trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Diederik P. Kingma
7. Richard Socher
8. Ilya Sutskever
9. Jia Deng
10. Nitish Srivastava

Who trusts Michael C. Kampffmeyer overall

1. Spyros Gidaris
2. Qimai Li
3. Rui Cheng
4. Jie Zhou
5. Guosen Xie
6. Nikos Komodakis

Papers from Michael C. Kampffmeyer's perspective

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

Their papers

• Rethinking Knowledge Graph Propagation for Zero-Shot Learning (2018) — 340 citations