Rebecca L. Russell

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it

Whom Rebecca L. Russell trusts overall

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

1. Tomas Mikolov
2. Ilya Sutskever
3. Claire Le Goues
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Z. Li
7. Jacob A. Harer
8. Yoon Kim
9. Diederik P. Kingma
10. Sepp Hochreiter

Who trusts Rebecca L. Russell overall

1. Yi Li
2. Michael Fu
3. Saikat Chakraborty
4. Guru Prasad Bhandari
5. Guanjun Lin
6. Shaohua Wang
7. Yizheng Chen
8. Chakkrit Kla Tantithamthavorn
9. Tien Nhut Nguyen

Papers from Rebecca L. Russell's perspective

Ordered by how strongly the researchers Rebecca L. Russell trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Automated Vulnerability Detection in Source Code Using Deep Representation Learning (2018) — 695 citations
• Learning to Repair Software Vulnerabilities with Generative Adversarial Networks (2018) — 83 citations