Barbara Rychalska

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Natural Language Processing — 8 citations into it

Whom Barbara Rychalska trusts overall

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

1. Richard Socher
2. Jeffrey Pennington
3. Kyunghyun Cho
4. Yoshua Bengio
5. Yuhua Li
6. Christopher D. Manning
7. Junyoung Chung
8. Caglar Gulcehre
9. Geoffrey E. Hinton
10. Harris Drucker

Who trusts Barbara Rychalska overall

1. Sarah Kohail
2. Amr Rekaby Salama

Papers from Barbara Rychalska's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity. (2016) — 55 citations