Miles Osborne
Artificial Intelligence · 2003–2016
A researcher in the Science corpus: 14 papers; trusts 58 researchers and is trusted by 54 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it; #8,580 of 35,345 by trust here, #10,207 by citations
- Natural Language Processing — 40 citations into it; #1,671 of 5,688 by trust here, #1,813 by citations
- Information Systems — 16 citations into it; #8,003 of 8,771 by trust here, #7,386 by citations
- Computer Networks and Communications — 9 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it; #20,434 of 21,575 by trust here, #20,756 by citations
- Evaluation & Benchmarks — 9 citations into it; #1,342 of 3,147 by trust here, #1,450 by citations
- Optimization & Training — 7 citations into it
- Signal Processing — 6 citations into it; #4,560 of 7,572 by trust here, #5,829 by citations
Whom Miles Osborne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Franz Joseph Och
- Kenneth Heafield
- Bo Han
- Jeffrey Scott Vitter
- Andreas Stolcke
- David Chiang
- Sasa Petrovic
- Shankar Kumar
- S. Muthu Muthukrishnan
Who trusts Miles Osborne overall
- Philipp Koehn
- Nadir Durrani
- Mark Dredze
- Michael J.Q. Zhang
- Johannes Heinrich
- Holger Schwenk
- Charu C. Aggarwal
- Rediet Abebe
- Kenneth Heafield
- Alexandra Olteanu
Papers from Miles Osborne's perspective
Ordered by how strongly the researchers Miles Osborne trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Bleu: a Method for Automatic Evaluation of Machine Translation
Their papers
- Improved Statistical Machine Translation Using Paraphrases (2006) — 338 citations
- Exponential Reservoir Sampling for Streaming Language Models (2014) — 30 citations
- Probabilistic Inference for Machine Translation (2008) — 52 citations
- Example Selection for Bootstrapping Statistical Parsers (2003) — 290 citations
- RT to Win! Predicting Message Propagation in Twitter (2011) — 430 citations
- How Twitter is Changing the Nature of Financial News Discovery (2016) — 18 citations
- Geolocation for Twitter: Timing Matters (2016) — 60 citations
- Facebook, Twitter and Google Plus for Breaking News: Is There a Winner? (2014) — 79 citations
- Constructing Parallel Corpora for Six Indian Languages via Crowdsourcing (2012) — 146 citations
- Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1 (2012) — 70 citations
- Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (2011) — 370 citations
- Streaming First Story Detection with application to Twitter (2010) — 739 citations
- Randomised Language Modelling for Statistical Machine Translation (2007) — 84 citations
- Re-evaluating the Role of Bleu in Machine Translation Research (2006) — 487 citations