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ORCIDBeyza Ermis
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2020 – today
- 2024
[c15]Beyza Ermis, Luiza Pozzobon, Sara Hooker, Patrick Lewis:
From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models. ACL (Findings) 2024: 15041-15058- [c14]Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker:
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning. ICLR 2024 - [i19]Çagatay Yildiz, Nishaanth Kanna Ravichandran, Prishruit Punia, Matthias Bethge, Beyza Ermis:
Investigating Continual Pretraining in Large Language Models: Insights and Implications. CoRR abs/2402.17400 (2024) - [i18]Luiza Pozzobon, Patrick Lewis, Sara Hooker, Beyza Ermis:
From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models. CoRR abs/2403.03893 (2024) - [i17]Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker:
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. CoRR abs/2406.18682 (2024) - [i16]Ayomide Odumakinde, Daniel D'souza, Pat Verga, Beyza Ermis, Sara Hooker:
Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress. CoRR abs/2408.14960 (2024) - 2023
- [c13]Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker:
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models. EMNLP (Findings) 2023: 5108-5125 - [c12]Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker:
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research. EMNLP 2023: 7595-7609 - [c11]Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cédric Archambeau, Giovanni Zappella:
PASHA: Efficient HPO and NAS with Progressive Resource Allocation. ICLR 2023 - [i15]Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker:
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research. CoRR abs/2304.12397 (2023) - [i14]Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker:
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning. CoRR abs/2309.05444 (2023) - [i13]Luiza Pozzobon, Beyza Ermis, Patrick Lewis, Sara Hooker:
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models. CoRR abs/2310.07589 (2023) - [i12]Meriem Boubdir, Edward Kim, Beyza Ermis, Marzieh Fadaee, Sara Hooker:
Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation. CoRR abs/2310.14424 (2023) - [i11]Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee:
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation. CoRR abs/2311.17295 (2023) - 2022
- [c10]Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau:
Continual Learning with Transformers for Image Classification. CVPR Workshops 2022: 3773-3780 - [c9]Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau:
Memory Efficient Continual Learning with Transformers. NeurIPS 2022 - [i10]Beyza Ermis, Giovanni Zappella, Martin Wistuba, Cédric Archambeau:
Memory Efficient Continual Learning for Neural Text Classification. CoRR abs/2203.04640 (2022) - [i9]Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau:
Continual Learning with Transformers for Image Classification. CoRR abs/2206.14085 (2022) - [i8]Ondrej Bohdal, Lukas Balles, Beyza Ermis, Cédric Archambeau, Giovanni Zappella:
PASHA: Efficient HPO with Progressive Resource Allocation. CoRR abs/2207.06940 (2022) - 2021
- [c8]Beyza Ermis, Giovanni Zappella, Cédric Archambeau:
Towards robust episodic meta-learning. UAI 2021: 1342-1351 - 2020
- [b1]Beyza Ermis:
Bayesian approaches for privacy preserving data sharing (Mahremiyeti koruyan veri paylaşımında bayesçi yöntemler). Boğaziçi University, Turkey, 2020 - [j3]Beyza Ermis, A. Taylan Cemgil:
Data Sharing via Differentially Private Coupled Matrix Factorization. ACM Trans. Knowl. Discov. Data 14(3): 28:1-28:27 (2020) - [c7]Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella:
Learning to Rank in the Position Based Model with Bandit Feedback. CIKM 2020: 2405-2412 - [c6]Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brückner:
Linear bandits with Stochastic Delayed Feedback. ICML 2020: 9712-9721 - [i7]Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella:
Learning to Rank in the Position Based Model with Bandit Feedback. CoRR abs/2004.13106 (2020)
2010 – 2019
- 2019
- [j2]Sinan Yildirim
, Beyza Ermis:
Exact MCMC with differentially private moves - Revisiting the penalty algorithm in a data privacy framework. Stat. Comput. 29(5): 947-963 (2019) - 2018
- [i6]Claire Vernade, Alexandra Carpentier, Giovanni Zappella, Beyza Ermis, Michael Brückner:
Contextual Bandits under Delayed Feedback. CoRR abs/1807.02089 (2018) - 2017
- [i5]Beyza Ermis, Ali Taylan Cemgil:
Differentially Private Dropout. CoRR abs/1712.01665 (2017) - [i4]Beyza Ermis, Ali Taylan Cemgil:
Differentially Private Variational Dropout. CoRR abs/1712.02629 (2017) - 2015
- [j1]Beyza Ermis, Evrim Acar, Ali Taylan Cemgil:
Link prediction in heterogeneous data via generalized coupled tensor factorization. Data Min. Knowl. Discov. 29(1): 203-236 (2015) - [c5]Umut Simsekli, Ali Taylan Cemgil, Beyza Ermis:
Learning mixed divergences in coupled matrix and tensor factorization models. ICASSP 2015: 2120-2124 - 2014
- [c4]Beyza Ermis, Ali Taylan Cemgil, Neda Barzegar Marvasti, Burak Acar:
Liver CT Annotation via Generalized Coupled Tensor Factorization. CLEF (Working Notes) 2014: 421-427 - [c3]Beyza Ermis, Guillaume Bouchard:
Iterative Splits of Quadratic Bounds for Scalable Binary Tensor Factorization. UAI 2014: 192-199 - [i3]Beyza Ermis, Yusuf Kenan Yilmaz, Ali Taylan Cemgil, Evrim Acar:
Variational Inference For Probabilistic Latent Tensor Factorization with KL Divergence. CoRR abs/1409.8083 (2014) - [i2]Beyza Ermis, Ali Taylan Cemgil:
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction. CoRR abs/1409.8276 (2014) - 2013
- [c2]Umut Simsekli, Beyza Ermis, A. Taylan Cemgil, Evrim Acar:
Optimal weight learning for Coupled Tensor Factorization with mixed divergences. EUSIPCO 2013: 1-5 - [c1]Beyza Ermis, Ali Taylan Cemgil, Evrim Acar:
Generalized coupled symmetric tensor factorization for link prediction. SIU 2013: 1-4 - 2012
- [i1]Beyza Ermis, Evrim Acar, A. Taylan Cemgil:
Link Prediction via Generalized Coupled Tensor Factorisation. CoRR abs/1208.6231 (2012)
Coauthor Index
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last updated on 2024-09-30 00:10 CEST by the dblp team
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