Parameter-efficient modularised bias mitigation via AdapterFusion D Kumar, O Lesota, G Zerveas, D Cohen, C Eickhoff, M Schedl, ... arXiv preprint arXiv:2302.06321, 2023 | 15 | 2023 |
Modular and on-demand bias mitigation with attribute-removal subnetworks L Hauzenberger, S Masoudian, D Kumar, M Schedl, N Rekabsaz arXiv preprint arXiv:2205.15171, 2022 | 9 | 2022 |
QUARC: Quaternion multi-modal fusion architecture for hate speech classification D Kumar, N Kumar, S Mishra 2021 IEEE international conference on big data and smart computing (BigComp …, 2021 | 7 | 2021 |
NLP@ NISER: Classification of COVID19 tweets containing symptoms D Kumar, N Kumar, S Mishra Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop …, 2021 | 5 | 2021 |
Fairness of Recommender Systems in the Recruitment Domain: An Analysis from Technical and Legal Perspectives D Kumar, T Grosz, N Rekabsaz, E Greif, M Schedl Frontiers in Big Data 6, 1245198, 2023 | 1 | 2023 |
Dict-nmt: Bilingual dictionary based nmt for extremely low resource languages N Kumar, D Kumar, S Mishra arXiv preprint arXiv:2206.04439, 2022 | 1 | 2022 |
Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning D Kumar, T Grosz, E Greif, N Rekabsaz, M Schedl Proceedings of the 3rd Workshop on Recommender Systems for Human Resources …, 2023 | | 2023 |