Sebastian Ruder
Sebastian Ruder
Research scientist, DeepMind
Verified email at google.com - Homepage
TitleCited byYear
An overview of gradient descent optimization algorithms
S Ruder
arXiv preprint arXiv:1609.04747, 2016
17972016
Universal Language Model Fine-tuning for Text Classification
J Howard, S Ruder
Proceedings of ACL 2018, 2018
766*2018
An overview of multi-task learning in deep neural networks
S Ruder
arXiv preprint arXiv:1706.05098, 2017
5682017
A Survey of Cross-lingual Word Embedding Models
S Ruder, I Vulić, A Søgaard
Journal of Artificial Intelligence Research 65, 569-631, 2019
150*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
962016
Learning what to share between loosely related tasks
S Ruder, J Bingel, I Augenstein, A Søgaard
arXiv preprint arXiv:1705.08142, 2017
782017
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
672016
On the Limitations of Unsupervised Bilingual Dictionary Induction
A Søgaard, S Ruder, I Vulić
Proceedings of ACL 2018, 2018
612018
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
422017
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
412016
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
I Augenstein, S Ruder, A Søgaard
Proceedings of NAACL-HLT 2018, 2018
392018
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
35*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
342019
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks
V Sanh, T Wolf, S Ruder
Proceedings of AAAI 2019, 2019
322019
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
S Ruder, B Plank
Proceedings of ACL 2018, 2018
322018
Neural Transfer Learning for Natural Language Processing
S Ruder
National University of Ireland, Galway, 2019
282019
Transfer learning - Machine Learning’s next frontier
S Ruder
http://ruder.io/transfer-learning/, 2017
202017
Emoji as emotion tags for tweets
I Wood, S Ruder
Proceedings of the Emotion and Sentiment Analysis Workshop LREC2016 …, 2016
192016
Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction
Y Kementchedjhieva, S Ruder, R Cotterell, A Søgaard
Proceedings of CoNLL 2018, 2018
182018
Latent Multi-task Architecture Learning
S Ruder, J Bingel, I Augenstein, A Søgaard
Proceedings of AAAI 2019, 2019
172019
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