| Men also like shopping: Reducing gender bias amplification using corpus-level constraints J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang arXiv preprint arXiv:1707.09457, 2017 | 651 | 2017 |
| Gender bias in coreference resolution: Evaluation and debiasing methods J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang arXiv preprint arXiv:1804.06876, 2018 | 427 | 2018 |
| Gender bias in contextualized word embeddings J Zhao, T Wang, M Yatskar, R Cotterell, V Ordonez, KW Chang arXiv preprint arXiv:1904.03310, 2019 | 230 | 2019 |
| Balanced datasets are not enough: Estimating and mitigating gender bias in deep image representations T Wang, J Zhao, M Yatskar, KW Chang, V Ordonez Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 201 | 2019 |
| General multi-label image classification with transformers J Lanchantin, T Wang, V Ordonez, Y Qi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 46 | 2021 |
| Name tagging for low-resource incident languages based on expectation-driven learning B Zhang, X Pan, T Wang, A Vaswani, H Ji, K Knight, D Marcu 15th Conference of the North American Chapter of the Association for …, 2016 | 42 | 2016 |
| Cat-gen: Improving robustness in nlp models via controlled adversarial text generation T Wang, X Wang, Y Qin, B Packer, K Li, J Chen, A Beutel, E Chi arXiv preprint arXiv:2010.02338, 2020 | 34 | 2020 |
| Opt: Open pre-trained transformer language models S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ... arXiv preprint arXiv:2205.01068, 2022 | 28 | 2022 |
| Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation T Wang, XV Lin, NF Rajani, B McCann, V Ordonez, C Xiong arXiv preprint arXiv:2005.00965, 2020 | 28* | 2020 |
| Feedback-prop: Convolutional neural network inference under partial evidence T Wang, K Yamaguchi, V Ordonez Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 10 | 2018 |
| Visual news: Benchmark and challenges in news image captioning F Liu, Y Wang, T Wang, V Ordonez arXiv preprint arXiv:2010.03743, 2020 | 8* | 2020 |
| Few-shot learning with multilingual language models XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ... arXiv preprint arXiv:2112.10668, 2021 | 4 | 2021 |
| Identifying and mitigating spurious correlations for improving robustness in nlp models T Wang, D Yang, X Wang arXiv preprint arXiv:2110.07736, 2021 | 4 | 2021 |
| Peer-reviewed publications W Ahmad, Z Zhang, X Ma, KW Chang, N Peng, M Chen, Y Tian, H Chen, ... Journal of Environmental Research and Public Health 8, 1684, 2016 | | 2016 |
| General multi-label image classification with transformers Download PDF Open Website J Lanchantin, T Wang, V Ordonez, Y Qi | | |
Vicente OrdóñezAssociate Professor, Computer Science, Rice UniversityE-mailová adresa ověřena na: rice.edu
