Sebastian Ruder
Sebastian Ruder
Research scientist, DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
An overview of gradient descent optimization algorithms
S Ruder
arXiv preprint arXiv:1609.04747, 2016
23742016
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
8042017
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
1232016
On the Limitations of Unsupervised Bilingual Dictionary Induction
A Søgaard, S Ruder, I Vulić
Proceedings of ACL 2018, 2018
1142018
Learning what to share between loosely related tasks
S Ruder, J Bingel, I Augenstein, A Søgaard
ArXiv, 2017
1012017
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
1002019
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
782016
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
692019
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
652017
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks
V Sanh, T Wolf, S Ruder
Proceedings of AAAI 2019, 2019
642019
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
S Ruder, B Plank
Proceedings of ACL 2018, 2018
572018
Neural Transfer Learning for Natural Language Processing
S Ruder
National University of Ireland, Galway, 2019
562019
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
512016
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
I Augenstein, S Ruder, A Søgaard
Proceedings of NAACL-HLT 2018, 2018
472018
Latent Multi-task Architecture Learning
S Ruder, J Bingel, I Augenstein, A Søgaard
Proceedings of AAAI 2019, 2019
382019
On the cross-lingual transferability of monolingual representations
M Artetxe, S Ruder, D Yogatama
Proceedings of ACL 2020, 2020
362020
Transfer learning - Machine Learning’s next frontier
S Ruder
http://ruder.io/transfer-learning/, 2017
322017
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
302019
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