Jevgenija Pantiuchina

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Natural Language Processing — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Model Architectures — 7 citations into it

Whom Jevgenija Pantiuchina trusts overall

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

1. Ilya Sutskever
2. Sepp Hochreiter
3. Dzmitry Bahdanau
4. Yoshua Bengio
5. Kyunghyun Cho
6. Geoffrey E. Hinton
7. Nal Kalchbrenner
8. J. Urgen Schmidhuber
9. Oriol Vinyals
10. Miltiadis Allamanis

Who trusts Jevgenija Pantiuchina overall

1. Hlib Babii
2. Yi Li
3. Saikat Chakraborty

Papers from Jevgenija Pantiuchina's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
10. ImageNet: A large-scale hierarchical image database

Their papers

• On Learning Meaningful Code Changes Via Neural Machine Translation (2019) — 249 citations