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Natalia Ponomareva
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The tree ensemble layer: Differentiability meets conditional computation
H Hazimeh, N Ponomareva, P Mol, Z Tan, R Mazumder
International Conference on Machine Learning, 4138-4148, 2020
812020
Shift-robust gnns: Overcoming the limitations of localized graph training data
Q Zhu, N Ponomareva, J Han, B Perozzi
Advances in Neural Information Processing Systems 34, 27965-27977, 2021
792021
How to dp-fy ml: A practical guide to machine learning with differential privacy
N Ponomareva, H Hazimeh, A Kurakin, Z Xu, C Denison, HB McMahan, ...
Journal of Artificial Intelligence Research 77, 1113-1201, 2023
632023
Conditional random fields vs. hidden markov models in a biomedical named entity recognition task
N Ponomareva, P Rosso, F Pla, A Molina
Proc. of Int. Conf. Recent Advances in Natural Language Processing, RANLP …, 2007
592007
Do neighbours help? an exploration of graph-based algorithms for cross-domain sentiment classification
N Ponomareva, M Thelwall
Proceedings of the 2012 joint conference on empirical methods in natural …, 2012
462012
Semi-supervised vs. Cross-domain Graphs for Sentiment Analysis
N Ponomareva, M Thelwall
RANLP 2013, 2013
422013
Biographies or blenders: Which resource is best for cross-domain sentiment analysis?
N Ponomareva, M Thelwall
International Conference on Intelligent Text Processing and Computational …, 2012
392012
Biomedical named entity recognition: a poor knowledge HMM-based approach
N Ponomareva, F Pla, A Molina, P Rosso
Natural Language Processing and Information Systems: 12th International …, 2007
392007
Accelerating gradient boosting machines
H Lu, SP Karimireddy, N Ponomareva, V Mirrokni
International conference on artificial intelligence and statistics, 516-526, 2020
382020
Compact multi-class boosted trees
N Ponomareva, T Colthurst, G Hendry, S Haykal, S Radpour
2017 IEEE International Conference on Big Data (Big Data), 47-56, 2017
242017
Training text-to-text transformers with privacy guarantees
N Ponomareva, J Bastings, S Vassilvitskii
Findings of the Association for Computational Linguistics: ACL 2022, 2182-2193, 2022
192022
Agent prioritization for autonomous navigation
KS Refaat, K Ding, N Ponomareva, S Ross
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
192019
Privacy-preserving recommender systems with synthetic query generation using differentially private large language models
AG Carranza, R Farahani, N Ponomareva, A Kurakin, M Jagielski, M Nasr
arXiv preprint arXiv:2305.05973, 2023
172023
The study of sentiment word granularity for opinion analysis (a comparison with Maite Taboada works)
O Kaurova, M Alexandrov, N Ponomareva
International Journal on Social Media. MMM: Monitoring, Measurement, and …, 2010
142010
Constructing empirical models for automatic dialog parameterization
M Alexandrov, X Blanco, N Ponomareva, P Rosso
Text, Speech and Dialogue: 10th International Conference, TSD 2007, Pilsen …, 2007
132007
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance
S Ibrahim, N Ponomareva, R Mazumder
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
112022
Air: a semi-automatic system for archiving institutional repositories
N Ponomareva, JM Gomez, V Pekar
Natural Language Processing and Information Systems, 169-181, 2009
102009
Harnessing large-language models to generate private synthetic text
A Kurakin, N Ponomareva, U Syed, L MacDermed, A Terzis
arXiv preprint arXiv:2306.01684, 2023
82023
Fast as chita: Neural network pruning with combinatorial optimization
R Benbaki, W Chen, X Meng, H Hazimeh, N Ponomareva, Z Zhao, ...
International Conference on Machine Learning, 2031-2049, 2023
72023
Explaining and adapting graph conditional shift
Q Zhu, Y Jiao, N Ponomareva, J Han, B Perozzi
arXiv preprint arXiv:2306.03256, 2023
72023
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