Miloš Stanojević
Natural Language Processing · 2014–2016
A researcher in the Science corpus: 7 papers; trusts 51 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 55 citations into it; #1,685 of 5,688 by trust here, #2,808 by citations
- Evaluation & Benchmarks — 46 citations into it; #469 of 3,147 by trust here, #1,138 by citations
- Artificial Intelligence — 40 citations into it; #4,285 of 35,345 by trust here, #7,471 by citations
- Information Systems — 5 citations into it
Whom Miloš Stanojević trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Mark Hopkins
- Franz Joseph Och
- Michael J. Denkowski
- Ondrej Bojar
- Colin Cherry
- Chris Callison-Burch
- Hideki Isozaki
- Jonathan May
- David Chiang
Who trusts Miloš Stanojević overall
- Ananya B. Sai
- Khalil Sima'an
- Akash Kumar Mohankumar
- Jan Niehues
- Franck Burlot
- Maja Popovic
- Sebastian Gehrmann
- Julia Kreutzer
- Weizhe Yuan
- Marcis Pinnis
Papers from Miloš Stanojević's perspective
Ordered by how strongly the researchers Miloš Stanojević 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
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Their papers
- Results of the WMT16 Metrics Shared Task (2016) — 127 citations
- BEER: BEtter Evaluation as Ranking (2014) — 119 citations
- Results of the WMT15 Metrics Shared Task (2015) — 105 citations
- Results of the WMT16 Tuning Shared Task (2016) — 7 citations
- Results of the WMT15 Tuning Shared Task (2015) — 8 citations
- Evaluating MT systems with BEER (2015) — 8 citations
- Fitting Sentence Level Translation Evaluation with Many Dense Features (2014) — 79 citations