Claudia Schulz

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #20,867 of 35,345 by trust here, #13,353 by citations
• Natural Language Processing — 16 citations into it; #3,555 of 5,688 by trust here, #2,846 by citations
• Evaluation & Benchmarks — 9 citations into it

Whom Claudia Schulz trusts overall

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

1. Andreas Vlachos
2. Sepp Hochreiter
3. James Thorne
4. J. Urgen Schmidhuber

Who trusts Claudia Schulz overall

1. James Thorne

Papers from Claudia Schulz's perspective

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

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

Their papers

• UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification (2018) — 206 citations
• A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking (2019) — 136 citations