Emils Ozolins

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Model Architectures — 15 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Emils Ozolins trusts overall

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

1. Alex Graves
2. Sepp Hochreiter
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yoshua Bengio
6. J. Urgen Schmidhuber
7. Diederik P. Kingma
8. Kyunghyun Cho
9. Oriol Vinyals
10. Alex Krizhevsky

Papers from Emils Ozolins's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Neural Shuffle-Exchange Networks − Sequence Processing in O( n log n ) Time (2019)