Sebastian Ruder

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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
Jeremy HowardDistinguished Research Scientist, University of San FranciscoVerified email at zz.lc
John G. BreslinPersonal Professor at NUI Galway, and Co-PI at Confirm and Insight, FI at VistaMilkVerified email at nuigalway.ie
Dani YogatamaDeepMindVerified email at google.com
Isabelle AugensteinAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Melvin JohnsonResearcher, GoogleVerified email at stanford.edu
Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
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
Aditya SiddhantGoogleVerified email at google.com
Orhan FiratGoogle AIVerified email at google.com
Matthew E PetersSr Research Scientist, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Thomas WolfChief Science Officer at HuggingFaceVerified email at polytechnique.edu
Joachim BingelUniversity of CopenhagenVerified email at di.ku.dk
Junjie HuAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Mikel ArtetxeFacebook AI ResearchVerified email at fb.com
Barbara PlankProfessor of Natural Language Processing, ITUVerified email at itu.dk
Ryan CotterellETH Zürich, University of CambridgeVerified email at inf.ethz.ch

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	4450	2016
Universal Language Model Fine-tuning for Text Classification J Howard, S Ruder Proceedings of ACL 2018, 2018	2388*	2018
An overview of multi-task learning in deep neural networks S Ruder arXiv preprint arXiv:1706.05098, 2017	1542	2017
A Survey of Cross-lingual Word Embedding Models S Ruder, I Vulić, A Søgaard Journal of Artificial Intelligence Research 65, 569-631, 2019	430	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	230	2020
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	221	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	206	2016
On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama Proceedings of ACL 2020, 2020	202	2020
On the Limitations of Unsupervised Bilingual Dictionary Induction A Søgaard, S Ruder, I Vulić Proceedings of ACL 2018, 2018	173	2018
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	166	2019
Neural Transfer Learning for Natural Language Processing S Ruder National University of Ireland, Galway, 2019	163	2019
Sluice networks: Learning what to share between loosely related tasks S Ruder, J Bingel, I Augenstein, A Søgaard arXiv preprint arXiv:1705.08142 2, 2017	143	2017
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks V Sanh, T Wolf, S Ruder Proceedings of AAAI 2019, 2019	131	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	120	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	112	2017
Strong Baselines for Neural Semi-supervised Learning under Domain Shift S Ruder, B Plank Proceedings of ACL 2018, 2018	111	2018
Latent Multi-task Architecture Learning S Ruder, J Bingel, I Augenstein, A Søgaard Proceedings of AAAI 2019, 2019	101	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	100	2016
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	86	2016
MAD-X: An Adapter-based Framework for Multi-task Cross-lingual Transfer J Pfeiffer, I Vulić, I Gurevych, S Ruder Proceedings of EMNLP 2020, 2020	76	2020

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