Anna Golubeva

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Safety, Robustness & Interpretability — 20 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Anna Golubeva trusts overall

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

1. Kaiming He
2. Sergey Ioffe
3. Christian Szegedy
4. Liam Paninski
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ian J. Goodfellow
8. Yoshua Bengio
9. Dan Hendrycks
10. Diederik P. Kingma

Papers from Anna Golubeva's perspective

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

Their papers

• Batch Normalization is a Cause of Adversarial Vulnerability (2019) — 85 citations