Anna Kuzina

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #22,089 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 12 citations into it; #13,692 of 21,575 by trust here, #20,756 by citations
• Generative Models — 5 citations into it; #1,274 of 1,956 by trust here, #1,926 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Anna Kuzina trusts overall

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

1. Zhizhong Li
2. J. Tomczak
3. Shane T. Barratt
4. Andrei A. Rusu
5. Max Welling
6. Geoffrey E. Hinton
7. Michael I. Jordan
8. Hanul Shin
9. Cuong V Nguyen
10. Chu Wang

Who trusts Anna Kuzina overall

1. Fei Ye
2. Jorge Armando Mendez Mendez
3. Adrian G. Bors
4. Eric Eaton

Papers from Anna Kuzina's perspective

Ordered by how strongly the researchers Anna Kuzina 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• BooVAE: Boosting Approach for Continual Learning of VAE (2019) — 34 citations