Sebastian Ruder

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	All	Since 2016
Citations	8052	8013
h-index	25	25
i10-index	36	36

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Co-authors

Ivan VulićSenior Research Associate, University of Cambridge & PolyAIVerified email at cam.ac.uk
Anders SøgaardFull Professor in NLP and Machine Learning, University of CopenhagenVerified email at di.ku.dk
Parsa GhaffariAYLIENVerified email at aylien.com
John G. BreslinPersonal Professor at NUI Galway, and Co-PI at Confirm and Insight, FI at VistaMilkVerified email at nuigalway.ie
Isabelle AugensteinAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Dani YogatamaDeepMindVerified email at google.com
Joachim BingelUniversity of CopenhagenVerified email at di.ku.dk
Matthew E PetersSr Research Scientist, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Ryan CotterellETH Zürich, University of CambridgeVerified email at inf.ethz.ch
Barbara PlankAssociate Professor in Natural Language Processing, ITUVerified email at itu.dk
Iryna GurevychProfessor of Computer Science, Technische Universität DarmstadtVerified email at cs.tu-darmstadt.de
Jonas PfeifferPhD Student - Technical University of DarmstadtVerified email at ukp.informatik.tu-darmstadt.de
Melvin JohnsonResearcher, GoogleVerified email at stanford.edu
Mikel ArtetxeFacebook AI ResearchVerified email at fb.com
Cyprien de Masson d'AutumeDeepMindVerified email at google.com
Aditya SiddhantGoogleVerified email at google.com
Orhan FiratGoogle AIVerified email at google.com
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Yova KementchedjhievaPhD fellow, University of CopenhagenVerified email at di.ku.dk
Victor SanhHugging FaceVerified email at huggingface.co

Sebastian Ruder

Research scientist, DeepMind

Verified email at google.com - Homepage

Natural Language Processing Machine Learning Deep Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An overview of gradient descent optimization algorithms S Ruder arXiv preprint arXiv:1609.04747, 2016	3098	2016
Universal Language Model Fine-tuning for Text Classification J Howard, S Ruder Proceedings of ACL 2018, 2018	1681*	2018
An overview of multi-task learning in deep neural networks S Ruder arXiv preprint arXiv:1706.05098, 2017	1066	2017
A Survey of Cross-lingual Word Embedding Models S Ruder, I Vulić, A Søgaard Journal of Artificial Intelligence Research 65, 569-631, 2019	319*	2019
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis S Ruder, P Ghaffari, JG Breslin Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016	163	2016
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks ME Peters, S Ruder, NA Smith Proceedings of the 4th Workshop on Representation Learning for NLP, 2019	147	2019
On the Limitations of Unsupervised Bilingual Dictionary Induction A Søgaard, S Ruder, I Vulić Proceedings of ACL 2018, 2018	138	2018
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard ArXiv, 2017	123	2017
Neural Transfer Learning for Natural Language Processing S Ruder National University of Ireland, Galway, 2019	94	2019
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks V Sanh, T Wolf, S Ruder Proceedings of AAAI 2019, 2019	90	2019
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions G Glavas, R Litschko, S Ruder, I Vulic Proceedings of ACL 2019, 2019	89	2019
Learning to select data for transfer learning with Bayesian Optimization S Ruder, B Plank Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017	84	2017
INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis S Ruder, P Ghaffari, JG Breslin Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016	84	2016
On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama Proceedings of ACL 2020, 2020	83	2020
Transfer learning in natural language processing S Ruder, ME Peters, S Swayamdipta, T Wolf Proceedings of the 2019 Conference of the North American Chapter of the …, 2019	78	2019
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization J Hu, S Ruder, A Siddhant, G Neubig, O Firat, M Johnson Proceedings of ICML 2020, 2020	71	2020
Strong Baselines for Neural Semi-supervised Learning under Domain Shift S Ruder, B Plank Proceedings of ACL 2018, 2018	70	2018
Character-level and multi-channel convolutional neural networks for large-scale authorship attribution S Ruder, P Ghaffari, JG Breslin arXiv preprint arXiv:1609.06686, 2016	66	2016
Latent Multi-task Architecture Learning S Ruder, J Bingel, I Augenstein, A Søgaard Proceedings of AAAI 2019, 2019	53	2019
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces I Augenstein, S Ruder, A Søgaard Proceedings of NAACL-HLT 2018, 2018	49	2018

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