@article{ajakan2014domain,
  title={Domain-adversarial neural networks},
  author={Ajakan, Hana and Germain, Pascal and Larochelle, Hugo and Laviolette, Fran{\c{c}}ois and Marchand, Mario},
  journal={Computing Research Repository, arXiv:1412.4446},
  year={2014},
  doi={10.48550/arXiv.1412.4446}
}

@article{DBLP:journals/neco/GonzalezA15,
  author       = {Carlos R. Gonz{\'{a}}lez and Yaser S. Abu{-}Mostafa},
  title        = {Mismatched training and test distributions can outperform matched ones},
  journal      = {Neural Comput.},
  volume       = {27},
  number       = {2},
  pages        = {365--387},
  year         = {2015},
  doi          = {10.1162/NECO\_A\_00697},
  timestamp    = {Tue, 01 Sep 2020 13:12:05 +0200},
  biburl       = {https://dblp.org/rec/journals/neco/GonzalezA15.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{mendes2023quantifying,
  title={Quantifying valence and arousal in text with multilingual pre-trained transformers},
  author={Mendes, Gon{\c{c}}alo Azevedo and Martins, Bruno},
  booktitle={Advances in Information Retrieval. ECIR 2023},
  series={Lecture Notes in Computer Science},
  volume={13980},
  pages={84--100},
  year={2023},
  publisher={Springer, Cham},
  doi={10.1007/978-3-031-28244-7_6}
}

@article{clark2020electra,
  title={{ELECTRA}: Pre-training text encoders as discriminators rather than generators},
  author={Clark, Kevin and Luong, Minh-Thang and Le, Quoc V and Manning, Christopher D},
  journal={arXiv preprint arXiv:2003.10555},
  year={2020},
  doi={10.48550/arXiv.2003.10555},
  note={arXiv:2003.10555}
}

@InProceedings{10.1007/3-540-45014-9_1,
  author={Dietterich, Thomas G.},
  title={Ensemble methods in machine learning},
  booktitle={Multiple Classifier Systems},
  year={2000},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  pages={1--15},
  doi={10.1007/3-540-45014-9_1},
  isbn={978-3-540-45014-6}
}

@article{10.1093/biomet/10.4.507,
  author={Fisher, R. A.},
  title={Frequency distribution of the values of the correlation coefficients in samples from an indefinitely large population},
  journal={Biometrika},
  volume={10},
  number={4},
  pages={507--521},
  year={1915},
  doi={10.1093/biomet/10.4.507},
}

@article{ganin2016domain,
  title={Domain-adversarial training of neural networks},
  author={Ganin, Yaroslav and Ustinova, Evgeniya and Ajakan, Hana and Germain, Pascal and Larochelle, Hugo and Laviolette, Fran{\c{c}}ois and Marchand, Mario and Lempitsky, Victor},
  journal={Journal of Machine Learning Research},
  volume={17},
  number={59},
  pages={1--35},
  year={2016},
  doi={10.1007/978-3-319-58347-1_10}
}

@inproceedings{guo2017calibration,
  title={On calibration of modern neural networks},
  author={Guo, Chuan and Pleiss, Geoff and Sun, Yu and Weinberger, Kilian Q},
  booktitle={Proceedings of the 34th International Conference on Machine Learning},
  volume={70},
  pages={1321--1330},
  year={2017},
  doi = {10.48550/arXiv.1706.04599},
  publisher={JMLR.org}
}

@article{DBLP:journals/corr/abs-2006-03654,
  author       = {Pengcheng He and Xiaodong Liu and Jianfeng Gao and Weizhu Chen},
  title        = {{DeBERTa}: Decoding-enhanced {BERT} with disentangled attention},
  journal      = {CoRR},
  volume       = {abs/2006.03654},
  year         = {2020},
  eprinttype   = {arXiv},
  eprint       = {2006.03654},
  note         = {arXiv:2006.03654},
  timestamp    = {Thu, 11 Apr 2024 13:33:57 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2006-03654.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org},
  doi = {10.48550/arXiv.2006.03654}
}

@inproceedings{jian-etal-2025-cyut,
  title={{CYUT}-{NLP} at {ROCLING}-2025 Shared Task: Valence{--}Arousal prediction in physicians' texts using {BERT}, {RAG}, and multi-teacher pseudo-labeling},
  author={Jian, Yi-Min and Hsiao, An Yu and Wu, Shih-Hung},
  editor={Chang, Kai-Wei and Lu, Ke-Han and Yang, Chih-Kai and Tam, Zhi-Rui and Chang, Wen-Yu and Wang, Chung-Che},
  booktitle={Proceedings of the 37th Conference on Computational Linguistics and Speech Processing (ROCLING 2025)},
  month=nov,
  year={2025},
  address={National Taiwan University, Taipei City, Taiwan},
  publisher={Association for Computational Linguistics},
  pages={381--389},
  ISBN={979-8-89176-379-1}
}

@article{lewis2020retrieval,
  title={Retrieval-augmented generation for knowledge-intensive {NLP} tasks},
  author={Lewis, Patrick and Perez, Ethan and Piktus, Aleksandra and Petroni, Fabio and Karpukhin, Vladimir and Goyal, Naman and K{\"u}ttler, Heinrich and Lewis, Mike and Yih, Wen-tau and Rockt{\"a}schel, Tim and Riedel, Sebastian and Kiela, Douwe},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={9459--9474},
  year={2020},
  doi = {10.48550/arXiv.2005.11401},
}

@inproceedings{mitsios2024improved,
  title={Improved text emotion prediction using combined valence and arousal ordinal classification},
  author={Mitsios, Michail and Vamvoukakis, Georgios and Maniati, Georgia and Ellinas, Nikolaos and Dimitriou, Georgios and Markopoulos, Konstantinos and Kakoulidis, Panos and Vioni, Alexandra and Christidou, Myrsini and Oh, Junkwang and Chalamandaris, Aimilios and Tsiakoulis, Pirros},
  booktitle={Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)},
  pages={808--813},
  year={2024},
  address={Mexico City, Mexico},
  publisher={Association for Computational Linguistics},
  doi={10.18653/v1/2024.naacl-short.72},
}

@inproceedings{moreno2025utbnlp,
  title={{UTBNLP} at {SemEval}-2025 Task 11: Predicting emotion intensity with {BERT} and {VAD}-informed attention},
  author={Moreno, Melissa and Martinez-Santos, Juan and Puertas, Edwin},
  booktitle={Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)},
  pages={1217--1222},
  year={2025},
  address={Vienna, Austria},
  publisher={Association for Computational Linguistics},
}

@article{northcutt2021pervasive,
  title={Pervasive label errors in test sets destabilize machine learning benchmarks},
  author={Northcutt, Curtis G and Athalye, Anish and Mueller, Jonas},
  journal={arXiv preprint arXiv:2103.14749},
  year={2021},
  doi = {https://doi.org/10.48550/arXiv.2103.14749},
  note={arXiv:2103.14749}
}

@article{platt1999probabilistic,
  title={Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods},
  author={Platt, John C.},
  journal={Advances in Large Margin Classifiers},
  volume={10},
  number={3},
  pages={61--74},
  year={1999},
  publisher={MIT Press, Cambridge, MA}
}

@article{russell1980circumplex,
  title={A circumplex model of affect},
  author={Russell, James A},
  journal={Journal of Personality and Social Psychology},
  volume={39},
  number={6},
  pages={1161--1178},
  year={1980},
  publisher={American Psychological Association},
  doi={10.1037/h0077714}
}

@inproceedings{soni-etal-2026-semeval,
  title={{S}em{E}val-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays},
  author={Soni, Nikita and
            Schwartz, H. Andrew and
            Boyd, Ryan L. and
            Bui, Phi Long and
            Mahwish, Syeda and
            Nilsson, August H{\aa}kan and
            Ganesan, Adithya V and
            Ungar, Lyle and
            Balasubramanian, Niranjan and
            Mohammad, Saif M.},
  booktitle={Proceedings of the 20th International Workshop on Semantic Evaluation (SemEval-2026)},
  year={2026},
  publisher={Association for Computational Linguistics}
}

@inproceedings{tzeng2017adversarial,
  title={Adversarial discriminative domain adaptation},
  author={Tzeng, Eric and Hoffman, Judy and Saenko, Kate and Darrell, Trevor},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={2962--2971},
  year={2017},
  doi={10.1109/CVPR.2017.316}
}

@article{vaswani2017attention,
  title={Attention is all you need},
  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
  journal={Advances in Neural Information Processing Systems},
  volume={30},
  year={2017},
  doi = {10.48550/arXiv.1706.03762},
}

@article{wilson2020bayesian,
  title={{Bayesian} deep learning and a probabilistic perspective of generalization},
  author={Wilson, Andrew G and Izmailov, Pavel},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={4697--4708},
  year={2020},
  doi = {10.48550/arXiv.2002.08791},
}

@inproceedings{zadrozny2002transforming,
  title={Transforming classifier scores into accurate multiclass probability estimates},
  author={Zadrozny, Bianca and Elkan, Charles},
  booktitle={Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  pages={694--699},
  year={2002},
  publisher={ACM},
  doi = {10.1145/775047.775151}
}

@inproceedings{angelova2005pruning,
  title={Pruning training sets for learning of object categories},
  author={Angelova, Anelia and Abu-Mostafa, Yaser and Perona, Pietro},
  booktitle={2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)},
  volume={1},
  pages={494--501},
  year={2005},
  organization={IEEE},
  doi = {10.1109/CVPR.2005.283}
}