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Beyza Ermiş
Beyza Ermiş
Diğer adlarB Ermiş
Cohere for AI
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Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Link prediction in heterogeneous data via generalized coupled tensor factorization
B Ermiş, E Acar, AT Cemgil
Data Mining and Knowledge Discovery 29, 203-236, 2015
1642015
Linear Bandits with Stochastic Delayed Feedback
C Vernade, A Carpentier, T Lattimore, G Zappella, B Ermis, M Brueckner
ICML, 2020
792020
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
T Zadouri, A Üstün, A Ahmadian, B Ermiş, A Locatelli, S Hooker
arXiv preprint arXiv:2309.05444, 2023
672023
Memory efficient continual learning with transformers
B Ermis, G Zappella, M Wistuba, A Rawal, C Archambeau
Advances in Neural Information Processing Systems 35, 10629-10642, 2022
462022
On the challenges of using black-box apis for toxicity evaluation in research
L Pozzobon, B Ermis, P Lewis, S Hooker
arXiv preprint arXiv:2304.12397, 2023
392023
Link prediction via generalized coupled tensor factorisation
B Ermiş, E Acar, AT Cemgil
arXiv preprint arXiv:1208.6231, 2012
392012
Optimal weight learning for coupled tensor factorization with mixed divergences
U Şimşekli, B Ermiş, AT Cemgil, E Acar
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
272013
Elo uncovered: Robustness and best practices in language model evaluation
M Boubdir, E Kim, B Ermis, S Hooker, M Fadaee
arXiv preprint arXiv:2311.17295, 2023
232023
A Bayesian tensor factorization model via variational inference for link prediction
B Ermis, AT Cemgil
arXiv preprint arXiv:1409.8276, 2014
232014
Learning to Rank in the Position Based Model with Bandit Feedback
B Ermis, P Ernst, Y Stein, G Zappella
CIKM, 2405-2412, 2020
222020
Exact MCMC with Differentially Private Moves
Y Sinan, B Ermis
Statistics and Computing 28 (123), 1-17, 2019
21*2019
PASHA: Efficient HPO and NAS with progressive resource allocation
O Bohdal, L Balles, M Wistuba, B Ermis, C Archambeau, G Zappella
arXiv preprint arXiv:2207.06940, 2022
202022
Investigating Continual Pretraining in Large Language Models: Insights and Implications
Ç Yıldız, NK Ravichandran, P Punia, M Bethge, B Ermis
arXiv preprint arXiv:2402.17400, 2024
192024
Learning mixed divergences in coupled matrix and tensor factorization models
U Şimşekli, AT Cemgil, B Ermiş
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
172015
Goodtriever: Adaptive toxicity mitigation with retrieval-augmented models
L Pozzobon, B Ermis, P Lewis, S Hooker
arXiv preprint arXiv:2310.07589, 2023
162023
Continual learning with transformers for image classification
B Ermis, G Zappella, M Wistuba, A Rawal, C Archambeau
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
142022
Data Sharing via Differentially Private Coupled Matrix Factorization
B Ermiş, AT Cemgil
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (3), 1-27, 2020
112020
Exact MCMC with differentially private moves Revisiting the penalty algorithm in a data privacy framework
S Yildirim, B Ermis
Statistics and Computing 29 (5), 947-963, 2019
112019
Contextual bandits under delayed feedback
C Vernade, A Carpentier, G Zappella, B Ermis, M Brueckner
arXiv preprint arXiv:1807.02089 361, 2018
112018
Iterative Splits of Quadratic Bounds for Scalable Binary Tensor Factorization.
B Ermis, G Bouchard
UAI, 192-199, 2014
102014
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Makaleler 1–20