Marie-Francine Moens
Artificial Intelligence · 2007–2020
A researcher in the Science corpus: 11 papers; trusts 280 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 104 citations into it; #5,295 of 35,345 by trust here, #9,870 by citations
- Natural Language Processing — 86 citations into it; #1,353 of 5,688 by trust here, #2,567 by citations
- Representation & Self-Supervised Learning — 28 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Information Systems — 15 citations into it
- Information Retrieval & Search — 13 citations into it; #200 of 1,022 by trust here, #492 by citations
- Meta & Continual Learning — 9 citations into it; #355 of 1,041 by trust here, #606 by citations
Whom Marie-Francine Moens trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Eugene Charniak
- Yoshua Bengio
- Geoffrey E. Hinton
- Tomas Mikolov
- Diederik P. Kingma
- Ilya Sutskever
- Adam L. Berger
- Kaiming He
- Yann LeCun
Who trusts Marie-Francine Moens overall
- Christian Stab
- Hamed Zamani
- Raquel Mochales Palau
- John Lawrence
- W. Bruce Croft
- Iryna Gurevych
- Joseph Mitola III
- Chris Reed
- Qingyao Ai
- Sebastian Ruder
Papers from Marie-Francine Moens's perspective
Ordered by how strongly the researchers Marie-Francine Moens trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Learning Multiple Layers of Features from Tiny Images
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- A survey on question answering technology from an information retrieval perspective (2011) — 279 citations
- Monolingual and Cross-Lingual Information Retrieval Models Based on (Bilingual) Word Embeddings (2015) — 300 citations
- Autoregressive Reasoning over Chains of Facts with Transformers (2020) — 15 citations
- Online Continual Learning from Imbalanced Data (2020) — 176 citations
- HiEve: A Corpus for Extracting Event Hierarchies from News Stories (2014) — 65 citations
- Skip N-grams and Ranking Functions for Predicting Script Events (2012) — 132 citations
- Argumentation mining (2011) — 419 citations
- Argumentation mining: the detection, classification and structure of arguments in text (2009) — 466 citations
- A machine learning approach to sentiment analysis in multilingual Web texts (2009) — 489 citations
- Text Analysis for Automatic Image Annotation (2007) — 85 citations
- Automatic detection of arguments in legal texts (2007) — 305 citations