Towards a unified view of parameter-efficient transfer learning J He, C Zhou, X Ma, T Berg-Kirkpatrick, G Neubig arXiv preprint arXiv:2110.04366, 2021 | 782 | 2021 |
Speaker-follower models for vision-and-language navigation D Fried, R Hu, V Cirik, A Rohrbach, J Andreas, LP Morency, ... Advances in neural information processing systems 31, 2018 | 511 | 2018 |
Improved variational autoencoders for text modeling using dilated convolutions Z Yang, Z Hu, R Salakhutdinov, T Berg-Kirkpatrick International conference on machine learning, 3881-3890, 2017 | 475 | 2017 |
Learning whom to trust with MACE D Hovy, T Berg-Kirkpatrick, A Vaswani, E Hovy Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 407 | 2013 |
Learning bilingual lexicons from monolingual corpora A Haghighi, P Liang, T Berg-Kirkpatrick, D Klein Proceedings of ACL-08: Hlt, 771-779, 2008 | 399 | 2008 |
Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation Y Wu, K Chen, T Zhang, Y Hui, T Berg-Kirkpatrick, S Dubnov ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 350 | 2023 |
Lagging inference networks and posterior collapse in variational autoencoders J He, D Spokoyny, G Neubig, T Berg-Kirkpatrick arXiv preprint arXiv:1901.05534, 2019 | 339 | 2019 |
Unsupervised text style transfer using language models as discriminators Z Yang, Z Hu, C Dyer, EP Xing, T Berg-Kirkpatrick Advances in Neural Information Processing Systems 31, 2018 | 304 | 2018 |
Painless unsupervised learning with features T Berg-Kirkpatrick, A Bouchard-Côté, J DeNero, D Klein Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 287 | 2010 |
Jointly learning to extract and compress T Berg-Kirkpatrick, D Gillick, D Klein Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 277 | 2011 |
An empirical investigation of statistical significance in NLP T Berg-Kirkpatrick, D Burkett, D Klein Proceedings of the 2012 joint conference on empirical methods in natural …, 2012 | 238 | 2012 |
Learning-based single-document summarization with compression and anaphoricity constraints G Durrett, T Berg-Kirkpatrick, D Klein arXiv preprint arXiv:1603.08887, 2016 | 199 | 2016 |
Hts-at: A hierarchical token-semantic audio transformer for sound classification and detection K Chen, X Du, B Zhu, Z Ma, T Berg-Kirkpatrick, S Dubnov ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 194 | 2022 |
Beyond BLEU: training neural machine translation with semantic similarity J Wieting, T Berg-Kirkpatrick, K Gimpel, G Neubig arXiv preprint arXiv:1909.06694, 2019 | 169 | 2019 |
Spine: Sparse interpretable neural embeddings A Subramanian, D Pruthi, H Jhamtani, T Berg-Kirkpatrick, E Hovy Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 144 | 2018 |
A probabilistic formulation of unsupervised text style transfer J He, X Wang, G Neubig, T Berg-Kirkpatrick arXiv preprint arXiv:2002.03912, 2020 | 142 | 2020 |
Learning to describe differences between pairs of similar images H Jhamtani, T Berg-Kirkpatrick arXiv preprint arXiv:1808.10584, 2018 | 135 | 2018 |
Quantifying privacy risks of masked language models using membership inference attacks F Mireshghallah, K Goyal, A Uniyal, T Berg-Kirkpatrick, R Shokri arXiv preprint arXiv:2203.03929, 2022 | 118 | 2022 |
Tools for automated analysis of cybercriminal markets RS Portnoff, S Afroz, G Durrett, JK Kummerfeld, T Berg-Kirkpatrick, ... Proceedings of the 26th international conference on world wide web, 657-666, 2017 | 109 | 2017 |
Efficient nearest neighbor language models J He, G Neubig, T Berg-Kirkpatrick arXiv preprint arXiv:2109.04212, 2021 | 91 | 2021 |