Katarzyna Pakulska

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 Katarzyna Pakulska 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. Christopher D. Manning
6. Yuhua Li
7. Junyoung Chung

Who trusts Katarzyna Pakulska overall

1. Sarah Kohail

Papers from Katarzyna Pakulska's perspective

Ordered by how strongly the researchers Katarzyna Pakulska 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. GloVe: Global Vectors for Word Representation
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

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