Sebastian Ruder - Google Scholar

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Anders SøgaardFull Professor in NLP and Machine Learning, University of CopenhagenVerified email at di.ku.dk
Ivan VulićSenior Research Associate, University of CambridgeVerified email at cam.ac.uk
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
Joachim BingelUniversity of CopenhagenVerified email at di.ku.dk
Dani YogatamaDeepMindVerified email at google.com
Matthew E PetersSr Research Scientist, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Barbara PlankAssociate Professor in Natural Language Processing, ITUVerified email at itu.dk
Ryan CotterellETH Zürich, University of CambridgeVerified email at inf.ethz.ch
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
Mikel ArtetxeUniversity of the Basque CountryVerified email at ehu.eus
Goran GlavašAssistant Professor, University of MannheimVerified email at informatik.uni-mannheim.de
Robert LitschkoUniversity of MannheimVerified email at informatik.uni-mannheim.de
Victor SanhHugging FaceVerified email at huggingface.co
Melvin JohnsonResearcher, GoogleVerified email at stanford.edu
Aditya SiddhantGoogleVerified email at google.com
Orhan FiratGoogle AIVerified email at google.com
Manaal FaruquiResearch Scientist, GoogleVerified email at google.com

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	2374	2016
Universal Language Model Fine-tuning for Text Classification J Howard, S Ruder Proceedings of ACL 2018, 2018	1242*	2018
An overview of multi-task learning in deep neural networks S Ruder arXiv preprint arXiv:1706.05098, 2017	804	2017
A Survey of Cross-lingual Word Embedding Models S Ruder, I Vulić, A Søgaard Journal of Artificial Intelligence Research 65, 569-631, 2019	250*	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	123	2016
On the Limitations of Unsupervised Bilingual Dictionary Induction A Søgaard, S Ruder, I Vulić Proceedings of ACL 2018, 2018	114	2018
Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard ArXiv, 2017	101	2017
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	100	2019
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	78	2016
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	69	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	65	2017
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks V Sanh, T Wolf, S Ruder Proceedings of AAAI 2019, 2019	64	2019
Strong Baselines for Neural Semi-supervised Learning under Domain Shift S Ruder, B Plank Proceedings of ACL 2018, 2018	57	2018
Neural Transfer Learning for Natural Language Processing S Ruder National University of Ireland, Galway, 2019	56	2019
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	51	2016
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces I Augenstein, S Ruder, A Søgaard Proceedings of NAACL-HLT 2018, 2018	47	2018
Latent Multi-task Architecture Learning S Ruder, J Bingel, I Augenstein, A Søgaard Proceedings of AAAI 2019, 2019	38	2019
On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama Proceedings of ACL 2020, 2020	36	2020
Transfer learning - Machine Learning’s next frontier S Ruder http://ruder.io/transfer-learning/, 2017	32	2017
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	30	2019

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