Sandra Ebert

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Sandra Ebert trusts overall

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

1. Marcus Rohrbach
2. Ulrike von Luxburg
3. Andrew Y. Ng
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Michael I. Jordan
7. Yoshua Bengio
8. Kaiming He
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Sandra Ebert overall

1. Ziming Zhang
2. Yanwei Fu
3. Venkatesh Saligrama
4. Yanan Li
5. Qianru Sun
6. Kuniaki Saito
7. Wei Wang
8. Zhun Zhong
9. Ozan Sener
10. Yongqin Xian

Papers from Sandra Ebert's perspective

Ordered by how strongly the researchers Sandra Ebert 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Transfer Learning in a Transductive Setting (2013) — 252 citations