Paula Czarnowska

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Natural Language Processing — 55 citations into it
• Safety, Robustness & Interpretability — 43 citations into it

Whom Paula Czarnowska trusts overall

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

1. Ben Hutchinson
2. Vinodkumar Prabhakaran
3. Richard Socher
4. Lev-Arie Ratinov
5. Saif M. Mohammad
6. Geoffrey E. Hinton
7. Lucas Dixon
8. Marco Tulio Ribeiro
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Paula Czarnowska's perspective

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

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

Their papers

• Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics (2021) — 140 citations
• SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection (2020) — 90 citations