James W. Bentz
1993
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 292 researchers here, as inferred from the citation graph.
Whom James W. Bentz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts James W. Bentz overall
- Yoshua Bengio
- Dinesh Jayaraman
- Kristen Grauman
- Hua He
- Dinghan Shen
- Yann LeCun
- Xinlei Chen
- Eric Tzeng
- Gabriella Csurka
- X. Wang
Papers from James W. Bentz's perspective
Ordered by how strongly the researchers James W. Bentz trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalization and network design strategies
- Neural Networks for Fingerprint Recognition
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory