Prodromos Malakasiotis
Artificial Intelligence · 2009–2021
A researcher in the Science corpus: 8 papers; trusts 315 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 179 citations into it; #8,133 of 35,345 by trust here, #10,942 by citations
- Natural Language Processing — 162 citations into it; #1,702 of 5,688 by trust here, #2,473 by citations
- Computer Vision and Pattern Recognition — 30 citations into it
- Evaluation & Benchmarks — 29 citations into it; #1,033 of 3,147 by trust here, #1,334 by citations
- Information Systems — 25 citations into it
- Model Architectures — 24 citations into it
- Safety, Robustness & Interpretability — 20 citations into it; #1,304 of 2,251 by trust here, #1,780 by citations
- Representation & Self-Supervised Learning — 17 citations into it
Whom Prodromos Malakasiotis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Tomas Mikolov
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ilya Sutskever
- Alex Krizhevsky
- Quoc V. Le
- Jimmy Ba
- Alex Graves
- Kyunghyun Cho
Who trusts Prodromos Malakasiotis overall
- Pushkar Mishra
- Alexandros Xenos
- John Pavlopoulos
- Helen Yannakoudakis
- Albert Gatt
- Mi-Young Kim
- Tushar Khot
- Jiang Zhao
- Mohit Iyyer
- Ekaterina Shutova
Papers from Prodromos Malakasiotis's perspective
Ordered by how strongly the researchers Prodromos Malakasiotis 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
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Large-Scale Multi-Label Text Classification on EU Legislation (2019) — 261 citations
- A Survey of Paraphrasing and Textual Entailment Methods (2009) — 485 citations
- SUM-QE: a BERT-based Summary Quality Estimation Model (2019) — 39 citations
- Deep Learning for User Comment Moderation (2017) — 137 citations
- An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition (2015) — 831 citations
- Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases (2021) — 145 citations
- LEGAL-BERT: “Preparing the Muppets for Court’” (2020) — 484 citations
- Deeper Attention to Abusive User Content Moderation (2017) — 162 citations