Diarmuid Ó Séaghdha
Artificial Intelligence · 2009–2017
A researcher in the Science corpus: 9 papers; trusts 103 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 116 citations into it; #7,643 of 35,345 by trust here, #3,362 by citations
- Natural Language Processing — 98 citations into it; #1,326 of 5,688 by trust here, #1,161 by citations
- Representation & Self-Supervised Learning — 22 citations into it
- Evaluation & Benchmarks — 19 citations into it; #2,534 of 3,147 by trust here, #1,399 by citations
- Molecular Biology — 13 citations into it; #5,645 of 17,773 by trust here, #5,137 by citations
- Information Systems — 12 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Management Science and Operations Research — 7 citations into it
Whom Diarmuid Ó Séaghdha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David M. Blei
- Geoffrey E. Hinton
- T. Griffiths
- Yoshua Bengio
- Michael I. Jordan
- Andrew Y. Ng
- Yee Whye Teh
- Diederik P. Kingma
- Alex Graves
- Ilya Sutskever
Who trusts Diarmuid Ó Séaghdha overall
- Omer Levy
- Diego Marcheggiani
- Alan Ritter
- Yoav Goldberg
- Abhinav Rastogi
- Ivan Titov
- Nikola Mrksic
- Ivan Vulic
- Puyang Xu
- Sebastian Ruder
Papers from Diarmuid Ó Séaghdha's perspective
Ordered by how strongly the researchers Diarmuid Ó Séaghdha 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals (2009) — 919 citations
- Multi-domain Dialog State Tracking using Recurrent Neural Networks (2015) — 189 citations
- Neural Belief Tracker: Data-Driven Dialogue State Tracking (2016) — 509 citations
- SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals (2010) — 326 citations
- Counter-fitting Word Vectors to Linguistic Constraints (2016) — 520 citations
- Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints (2017) — 219 citations
- Auralist: introducing serendipity into music recommendation (2012) — 374 citations
- Latent Variable Models of Selectional Preference (2010) — 119 citations
- Multi-way classification of semantic relations between pairs of nominals (2009) — 156 citations