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
Parsa GhaffariAYLIENVerified email at aylien.com
Jeremy HowardHonorary Professor, University of QueenslandVerified email at zz.lc
Dani YogatamaDeepMindVerified email at google.com
John G. BreslinProfessor at the University of Galway and Co-PI at Confirm and Insight SFI CentresVerified email at universityofgalway.ie
Jonas PfeifferResearch Scientist, GoogleVerified email at google.com
Graham NeubigCarnegie Mellon University, Inspired CognitionVerified email at cs.cmu.edu
Melvin JohnsonResearcher, GoogleVerified email at stanford.edu
Orhan FiratGoogle AIVerified email at google.com
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
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
Aditya SiddhantGoogleVerified email at google.com
Junjie HuAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Mikel ArtetxeFacebook AI ResearchVerified email at fb.com

Sebastian Ruder

Research Scientist, Google

Verified email at google.com - Homepage

Natural Language Processing Machine Learning Deep Learning Artificial Intelligence


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An overview of gradient descent optimization algorithms S Ruder arXiv preprint arXiv:1609.04747, 2016	6983	2016
Universal Language Model Fine-tuning for Text Classification J Howard, S Ruder Proceedings of ACL 2018, 2018	3551*	2018
An overview of multi-task learning in deep neural networks S Ruder arXiv preprint arXiv:1706.05098, 2017	2481	2017
A Survey of Cross-lingual Word Embedding Models S Ruder, I Vulić, A Søgaard Journal of Artificial Intelligence Research 65, 569-631, 2019	577	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	519	2020
On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama Proceedings of ACL 2020, 2020	388	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	380	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	349	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	277	2016
Neural Transfer Learning for Natural Language Processing S Ruder National University of Ireland, Galway, 2019	264	2019
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	231	2021
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	229	2020
On the Limitations of Unsupervised Bilingual Dictionary Induction A Søgaard, S Ruder, I Vulić Proceedings of ACL 2018, 2018	227	2018
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	208	2020
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks V Sanh, T Wolf, S Ruder Proceedings of AAAI 2019, 2019	206	2019
Latent Multi-task Architecture Learning S Ruder, J Bingel, I Augenstein, A Søgaard Proceedings of AAAI 2019, 2019	200	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	177	2017
Strong Baselines for Neural Semi-supervised Learning under Domain Shift S Ruder, B Plank Proceedings of ACL 2018, 2018	159	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	158	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	145	2017

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