Vera Rimmer

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Computer Networks and Communications — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Vera Rimmer trusts overall

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

1. Moses Charikar
2. Tao Wang
3. James Bergstra
4. Andriy Panchenko
5. Ian Goldberg
6. Geoffrey E. Hinton
7. Daniel L. K. Yamins
8. Xiang Cai

Who trusts Vera Rimmer overall

1. Payap Sirinam
2. Meng Shen

Papers from Vera Rimmer's perspective

Ordered by how strongly the researchers Vera Rimmer 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. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Going deeper with convolutions
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Automated Website Fingerprinting through Deep Learning (2017) — 419 citations