Christos Christodoulopoulos
Natural Language Processing · 2014–2021
A researcher in the Science corpus: 8 papers; trusts 85 researchers and is trusted by 96 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 108 citations into it; #750 of 5,688 by trust here, #700 by citations
- Artificial Intelligence — 106 citations into it; #2,504 of 35,345 by trust here, #2,853 by citations
- Evaluation & Benchmarks — 48 citations into it; #410 of 3,147 by trust here, #424 by citations
- Sociology and Political Science — 22 citations into it; #18,359 of 22,756 by trust here, #16,952 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Information Systems — 21 citations into it; #7,809 of 8,771 by trust here, #4,682 by citations
- Information Retrieval & Search — 15 citations into it
- Safety, Robustness & Interpretability — 15 citations into it; #1,957 of 2,251 by trust here, #2,078 by citations
Whom Christos Christodoulopoulos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dipanjan Das
- Mitchell P. Marcus
- George A. Miller
- Geoffrey E. Hinton
- Yoshua Bengio
- Christopher D. Manning
- Diederik P. Kingma
- Ilya Sutskever
- James Thorne
- Alex Krizhevsky
Who trusts Christos Christodoulopoulos overall
- James Thorne
- Bryan Eikema
- Andreas Vlachos
- Raj Dabre
- Xing Niu
- Neema Kotonya
- Tal Schuster
- Wilker Aziz
- Fabio Petroni
- Wenpeng Yin
Papers from Christos Christodoulopoulos's perspective
Ordered by how strongly the researchers Christos Christodoulopoulos trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- FEVER: a Large-scale Dataset for Fact Extraction and VERification (2018) — 2,295 citations
- The FEVER2.0 Shared Task (2019) — 112 citations
- A massively parallel corpus: the Bible in 100 languages (2014) — 259 citations
- The Fact Extraction and VERification (FEVER) Shared Task (2018) — 272 citations
- Evaluating adversarial attacks against multiple fact verification systems (2019) — 52 citations
- The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task (2021)
- FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information (2021) — 259 citations
- CogCompNLP: Your Swiss Army Knife for NLP (2018) — 29 citations