Sebastian Ruder

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Ivan VulićGoogle DeepMind & University of CambridgePatvirtintas el. paštas cam.ac.uk
Anders SøgaardFull Professor in NLP and Machine Learning, University of CopenhagenPatvirtintas el. paštas di.ku.dk
Jonas PfeifferResearch Scientist, Google DeepMindPatvirtintas el. paštas google.com
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaPatvirtintas el. paštas cs.tu-darmstadt.de
Dani YogatamaReka, USCPatvirtintas el. paštas reka.ai
Parsa GhaffariQuantexaPatvirtintas el. paštas quantexa.com
Jeremy HowardHonorary Professor, University of QueenslandPatvirtintas el. paštas zz.lc
Graham NeubigCarnegie Mellon University, All Hands AIPatvirtintas el. paštas cs.cmu.edu
Melvin JohnsonResearcher, GooglePatvirtintas el. paštas stanford.edu
Orhan FiratGoogle AIPatvirtintas el. paštas google.com
John G. BreslinProfessor at the University of Galway, PI at the Insight Research Ireland Centre for Data AnalyticsPatvirtintas el. paštas universityofgalway.ie
Yi TayResearch Scientist, Google DeepMindPatvirtintas el. paštas google.com
Aditya SiddhantGooglePatvirtintas el. paštas google.com
Junjie HuAssistant Professor, University of Wisconsin-MadisonPatvirtintas el. paštas wisc.edu
Donald MetzlerGoogle DeepMindPatvirtintas el. paštas google.com
Dara BahriResearch Scientist, Google DeepMindPatvirtintas el. paštas google.com
Matthew E PetersSpiffy AI, Allen Institute for Artificial IntelligencePatvirtintas el. paštas allenai.org
Thomas WolfCo-founder at HuggingFacePatvirtintas el. paštas polytechnique.edu
Isabelle AugensteinFull Professor, Department of Computer Science, University of CopenhagenPatvirtintas el. paštas di.ku.dk
Mostafa DehghaniResearch Scientist, Google DeepMindPatvirtintas el. paštas google.com

Stebėti

Sebastian Ruder

Research Scientist, Meta

Patvirtintas el. paštas meta.com - Pagrindinis puslapis

Natural Language Processing Machine Learning Deep Learning Artificial Intelligence


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
An overview of gradient descent optimization algorithms S Ruder arXiv preprint arXiv:1609.04747, 2016	11529	2016
Universal Language Model Fine-tuning for Text Classification J Howard, S Ruder Proceedings of ACL 2018, 2018	5612	2018
An overview of multi-task learning in deep neural networks S Ruder arXiv preprint arXiv:1706.05098, 2017	3952	2017
Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023	3253	2023
PaLM 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023	1620	2023
NusaCrowd: Open Source Initiative for Indonesian NLP Resources S Cahyawijaya, H Lovenia, AF Aji, GI Winata, B Wilie, R Mahendra, ... Findings of ACL 2023, 2023	1109	2023
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	966	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	822	2019
A Survey of Cross-lingual Word Embedding Models S Ruder, I Vulić, A Søgaard Journal of Artificial Intelligence Research 65, 569-631, 2019	812	2019
On the cross-lingual transferability of monolingual representations M Artetxe, S Ruder, D Yogatama Proceedings of ACL 2020, 2020	794	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	736	2021
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	674	2020
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	623	2020
Latent Multi-task Architecture Learning S Ruder, J Bingel, I Augenstein, A Søgaard Proceedings of AAAI 2019, 2019	585*	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	546	2019
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers RK Mahabadi, J Henderson, S Ruder Proceedings of NeurIPS 2021, 2021	473*	2021
Neural Transfer Learning for Natural Language Processing S Ruder National University of Ireland, Galway, 2019	423	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	365	2016
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks RK Mahabadi, S Ruder, M Dehghani, J Henderson Proceedings of ACL 2021, 2021	332	2021
On the Limitations of Unsupervised Bilingual Dictionary Induction A Søgaard, S Ruder, I Vulić Proceedings of ACL 2018, 2018	309	2018

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