Leana Golubchik

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Federated & Distributed Learning — 10 citations into it
• Computer Networks and Communications — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Privacy & Security — 6 citations into it
• Signal Processing — 6 citations into it

Whom Leana Golubchik trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yann LeCun
6. Chelsea Finn
7. Kaiming He
8. Yudong Chen
9. El Mahdi El Mhamdi
10. Ilya Sutskever

Papers from Leana Golubchik's perspective

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

Their papers

• Backdoor Attacks on Federated Meta-Learning (2020) — 33 citations
• Sensor faults: Detection methods and prevalence in real-world datasets (2010) — 401 citations