Anna Pomeranets

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #31,926 of 35,345 by trust here, #30,347 by citations
• Natural Language Processing — 28 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Information Systems — 10 citations into it
• Model Architectures — 9 citations into it

Whom Anna Pomeranets trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Quoc V. Le
4. Richard Socher
5. Yann LeCun
6. Alex Krizhevsky
7. Tomas Mikolov
8. Andrew Y. Ng
9. Ilya Sutskever
10. Sepp Hochreiter

Who trusts Anna Pomeranets overall

1. Dogu Araci

Papers from Anna Pomeranets's perspective

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

Their papers

• Big Data: Deep Learning for financial sentiment analysis (2018) — 347 citations