Brady Neal

2018

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

Whom Brady Neal trusts overall

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

1. Yoshua Bengio
2. Xavier Glorot
3. Geoffrey E. Hinton
4. Behnam Neyshabur
5. Kaiming He
6. Alex Krizhevsky
7. Yann LeCun
8. Robert E. Schapire
9. Michel Ledoux
10. Vladimir Naumovich Vapnik

Who trusts Brady Neal overall

1. Mario Geiger
2. Stéphane d'Ascoli
3. Arthur Jacot

Papers from Brady Neal's perspective

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

Their papers

• A Modern Take on the Bias-Variance Tradeoff in Neural Networks (2018) — 186 citations