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Dennis Ulmer
Dennis Ulmer
IT University of Copenhagen
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A taxonomy and review of generalization research in NLP
D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ...
Nature Machine Intelligence 5 (10), 1161-1174, 2023
113*2023
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
D Ulmer, C Hardmeier, J Frellsen
Transactions on Machine Learning Research 2023 (04), 2023
74*2023
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data
D Ulmer, L Meijerink, G Cinà
Machine Learning for Health 136 (2020), 341--354, 2020
732020
deep-significance: Easy and Meaningful Signifcance Testing in the Age of Neural Networks
D Ulmer, C Hardmeier, J Frellsen
ML Evaluation Standards Workshop at the Tenth International Conference on …, 2022
47*2022
Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection
D Ulmer, G Cinà
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial …, 2021
37*2021
Uncertainty in natural language generation: From theory to applications
J Baan, N Daheim, E Ilia, D Ulmer, HS Li, R Fernández, B Plank, ...
arXiv preprint arXiv:2307.15703, 2023
282023
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
D Ulmer, J Frellsen, C Hardmeier
Findings of the Association for Computational Linguistics: EMNLP 2022, 2707–2735, 2022
222022
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
D Ulmer, E Mansimov, K Lin, J Sun, X Gao, Y Zhang
arXiv preprint arXiv:2401.05033, 2024
182024
On the realization of compositionality in neural networks
J Baan, J Leible, M Nikolaus, D Rau, D Ulmer, T Baumgärtner, D Hupkes, ...
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting …, 2019
172019
Experimental Standards for Deep Learning in Natural Language Processing Research
D Ulmer, E Bassignana, M Müller-Eberstein, D Varab, M Zhang, ...
Findings of the Association for Computational Linguistics: EMNLP 2022, 2673–2692, 2022
16*2022
Non-exchangeable conformal risk control
A Farinhas, C Zerva, D Ulmer, AFT Martins
arXiv preprint arXiv:2310.01262, 2023
122023
Non-exchangeable conformal language generation with nearest neighbors
D Ulmer, C Zerva, AFT Martins
arXiv preprint arXiv:2402.00707, 2024
102024
Calibrating Large Language Models Using Their Generations Only
D Ulmer, M Gubri, H Lee, S Yun, SJ Oh
arXiv preprint arXiv:2403.05973, 2024
82024
Assessing incrementality in sequence-to-sequence models
D Ulmer, D Hupkes, E Bruni
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019
62019
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
M Gubri, D Ulmer, H Lee, S Yun, SJ Oh
arXiv preprint arXiv:2402.12991, 2024
12024
Recoding latent sentence representations - Dynamic gradient-based activation modification in RNNs
D Ulmer
Universiteit van Amsterdam, Faculteit der Natuurwetenschappen, Wiskunde en …, 2019
12019
On Uncertainty In Natural Language Processing
D Ulmer
arXiv preprint arXiv:2410.03446, 2024
2024
Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024)
R Vázquez, H Celikkanat, D Ulmer, J Tiedemann, S Swayamdipta, W Aziz, ...
Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024), 2024
2024
Failures of Uncertainty Estimation on Out-Of-Distribution Samples: Experimental Results from Medical Applications Lead to Theoretical Insights
K Zadorozhny, D Ulmer, G Cina
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Articles 1–19