Anton Gunzinger

1995

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Anton Gunzinger trusts overall

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

1. Yann LeCun
2. Suzanna Becker

Who trusts Anton Gunzinger overall

1. L. Eon Bottou

Papers from Anton Gunzinger's perspective

Ordered by how strongly the researchers Anton Gunzinger 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. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Generalization and network design strategies
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Fast neural net simulation with a DSP processor array (1995)