Sebastian Ruder
Sebastian Ruder
Research scientist, DeepMind
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Tytuł
Cytowane przez
Cytowane przez
Rok
An overview of gradient descent optimization algorithms
S Ruder
arXiv preprint arXiv:1609.04747, 2016
42922016
Universal Language Model Fine-tuning for Text Classification
J Howard, S Ruder
Proceedings of ACL 2018, 2018
2305*2018
An overview of multi-task learning in deep neural networks
S Ruder
arXiv preprint arXiv:1706.05098, 2017
14802017
A Survey of Cross-lingual Word Embedding Models
S Ruder, I Vulić, A Søgaard
Journal of Artificial Intelligence Research 65, 569-631, 2019
4182019
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
2142019
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
2102020
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
1992016
On the cross-lingual transferability of monolingual representations
M Artetxe, S Ruder, D Yogatama
Proceedings of ACL 2020, 2020
1812020
On the Limitations of Unsupervised Bilingual Dictionary Induction
A Søgaard, S Ruder, I Vulić
Proceedings of ACL 2018, 2018
1662018
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
1552019
Neural Transfer Learning for Natural Language Processing
S Ruder
National University of Ireland, Galway, 2019
1542019
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
1402017
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks
V Sanh, T Wolf, S Ruder
Proceedings of AAAI 2019, 2019
1242019
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
1162019
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
S Ruder, B Plank
Proceedings of ACL 2018, 2018
1082018
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
1082017
Latent Multi-task Architecture Learning
S Ruder, J Bingel, I Augenstein, A Søgaard
Proceedings of AAAI 2019, 2019
942019
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
942016
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
842016
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
702020
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