Nikolaos Aletras
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 9 papers; trusts 102 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 144 citations into it; #21,180 of 35,345 by trust here, #17,412 by citations
- Natural Language Processing — 91 citations into it; #3,966 of 5,688 by trust here, #4,601 by citations
- Evaluation & Benchmarks — 35 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
- Large Language Models — 22 citations into it
- Safety, Robustness & Interpretability — 20 citations into it
- Model Architectures — 19 citations into it
- Political Science and International Relations — 16 citations into it; #1,302 of 4,701 by trust here, #710 by citations
Whom Nikolaos Aletras trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gerlof J. Bouma
- Diederik P. Kingma
- David M. Blei
- Yuhai Wu
- Geoffrey E. Hinton
- Thorsten Joachims
- Yoshua Bengio
- James Richard Curran
- Andrew Y. Ng
- Radford M. Neal
Who trusts Nikolaos Aletras overall
- Ilias Chalkidis
- Jey Han Lau
- Michael Röder
- Haoxiang Zhong
- Daniel Preotiuc-Pietro
- Derek O'Callaghan
- Chaojun Xiao
- Osman Aka
- Ion Androutsopoulos
- Shaheen Syed
Papers from Nikolaos Aletras's perspective
Ordered by how strongly the researchers Nikolaos Aletras trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
Their papers
- Unsupervised Quality Estimation for Neural Machine Translation (2020) — 310 citations
- Studying User Income through Language, Behaviour and Affect in Social Media (2015) — 216 citations
- Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective (2016) — 723 citations
- Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases (2021) — 145 citations
- LexGLUE: A Benchmark Dataset for Legal Language Understanding in English (2021) — 516 citations
- LEGAL-BERT: “Preparing the Muppets for Court’” (2020) — 484 citations
- Neural Legal Judgment Prediction in English (2019) — 464 citations
- Predicting and Characterising User Impact on Twitter (2014) — 83 citations
- Evaluating Topic Coherence Using Distributional Semantics (2013) — 355 citations