Michelle Lochner

2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Michelle Lochner trusts overall

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

1. Jerome H. Friedman
2. Stéphane Mallat
3. Mark A. Kramer
4. N. Kingsbury
5. Yoav Freund
6. Yann LeCun
7. Alex Smola
8. Sinno Jialin Pan
9. James A. Hanley
10. Trevor J. Hastie

Who trusts Michelle Lochner overall

1. R. Kessler
2. D. Scolnic

Papers from Michelle Lochner's perspective

Ordered by how strongly the researchers Michelle Lochner 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. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• PHOTOMETRIC SUPERNOVA CLASSIFICATION WITH MACHINE LEARNING (2016) — 168 citations