Sebastian Ruder

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Ivan VulićPrincipal 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
Jonas PfeifferResearch Scientist, Google DeepMindVerified email at google.com
Jeremy HowardHonorary Professor, University of QueenslandVerified email at zz.lc
Parsa GhaffariAYLIENVerified email at aylien.com
Dani YogatamaDeepMindVerified email at google.com
Orhan FiratGoogle AIVerified email at google.com
John G. BreslinProfessor at the University of Galway and Co-PI at the Insight SFI Research CentreVerified email at universityofgalway.ie
Melvin JohnsonResearcher, GoogleVerified email at stanford.edu
Graham NeubigCarnegie Mellon University, Inspired CognitionVerified email at cs.cmu.edu
Iryna GurevychProfessor of Computer Science, Technische Universität DarmstadtVerified email at cs.tu-darmstadt.de
Yi TayResearch Scientist, Google BrainVerified email at google.com
Matthew E PetersSr Research Scientist, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Isabelle AugensteinFull Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Aditya SiddhantGoogleVerified email at google.com
Thomas WolfChief Science Officer at HuggingFaceVerified email at polytechnique.edu
Donald MetzlerGoogleVerified email at google.com
Dara BahriResearch Scientist, Google ResearchVerified email at google.com
Junjie HuAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Cyprien de Masson d'AutumeDeepMindVerified email at google.com

Sebastian Ruder

Research Scientist, Google

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	7768	2016
Universal Language Model Fine-tuning for Text Classification J Howard, S Ruder Proceedings of ACL 2018, 2018	3888*	2018
An overview of multi-task learning in deep neural networks S Ruder arXiv preprint arXiv:1706.05098, 2017	2774	2017
A Survey of Cross-lingual Word Embedding Models S Ruder, I Vulić, A Søgaard Journal of Artificial Intelligence Research 65, 569-631, 2019	628	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	624	2020
On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama Proceedings of ACL 2020, 2020	456	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	450	2019
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	393	2019
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	298	2020
Neural Transfer Learning for Natural Language Processing S Ruder National University of Ireland, Galway, 2019	295	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	295	2016
Adapterhub: A framework for adapting transformers J Pfeiffer, A Rücklé, C Poth, A Kamath, I Vulić, S Ruder, K Cho, I Gurevych Proceedings of EMNLP 2020: System demonstrations, 2020	289	2020
Long Range Arena: A Benchmark for Efficient Transformers Y Tay, M Dehghani, S Abnar, Y Shen, D Bahri, P Pham, J Rao, L Yang, ... Proceedings of ICLR 2021, 2021	285	2021
On the Limitations of Unsupervised Bilingual Dictionary Induction A Søgaard, S Ruder, I Vulić Proceedings of ACL 2018, 2018	251	2018
Latent Multi-task Architecture Learning S Ruder, J Bingel, I Augenstein, A Søgaard Proceedings of AAAI 2019, 2019	229	2019
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks V Sanh, T Wolf, S Ruder Proceedings of AAAI 2019, 2019	225	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	185	2017
Strong Baselines for Neural Semi-supervised Learning under Domain Shift S Ruder, B Plank Proceedings of ACL 2018, 2018	179	2018
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	165	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	156	2017

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