| Learning bilingual lexicons from monolingual corpora A Haghighi, P Liang, T Berg-Kirkpatrick, D Klein Proceedings of ACL-08: Hlt, 771-779, 2008 | 361 | 2008 |
| 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 | 239 | 2010 |
| 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 | 226 | 2017 |
| 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 | 215 | 2011 |
| 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 | 199 | 2013 |
| Unsupervised text style transfer using language models as discriminators Z Yang, Z Hu, C Dyer, EP Xing, T Berg-Kirkpatrick arXiv preprint arXiv:1805.11749, 2018 | 148 | 2018 |
| Speaker-follower models for vision-and-language navigation D Fried, R Hu, V Cirik, A Rohrbach, J Andreas, LP Morency, ... arXiv preprint arXiv:1806.02724, 2018 | 136 | 2018 |
| 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 | 116 | 2012 |
| Learning-based single-document summarization with compression and anaphoricity constraints G Durrett, T Berg-Kirkpatrick, D Klein arXiv preprint arXiv:1603.08887, 2016 | 115 | 2016 |
| Lagging inference networks and posterior collapse in variational autoencoders J He, D Spokoyny, G Neubig, T Berg-Kirkpatrick arXiv preprint arXiv:1901.05534, 2019 | 110 | 2019 |
| Phylogenetic grammar induction T Berg-Kirkpatrick, D Klein Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010 | 73 | 2010 |
| 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 | 52 | 2017 |
| 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 | 51 | 2018 |
| Unsupervised transcription of piano music T Berg-Kirkpatrick, J Andreas, D Klein Advances in neural information processing systems 27, 1538-1546, 2014 | 44 | 2014 |
| Using accelerometers to remotely and automatically characterize behavior in small animals TT Hammond, D Springthorpe, RE Walsh, T Berg-Kirkpatrick Journal of Experimental Biology 219 (11), 1618-1624, 2016 | 43 | 2016 |
| Unsupervised transcription of historical documents T Berg-Kirkpatrick, G Durrett, D Klein Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 40 | 2013 |
| Using syntax to ground referring expressions in natural images V Cirik, T Berg-Kirkpatrick, LP Morency Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 35 | 2018 |
| Efficient correlated topic modeling with topic embedding J He, Z Hu, T Berg-Kirkpatrick, Y Huang, EP Xing Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 31 | 2017 |
| A continuous relaxation of beam search for end-to-end training of neural sequence models K Goyal, G Neubig, C Dyer, T Berg-Kirkpatrick Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 29 | 2018 |
| Learning to describe differences between pairs of similar images H Jhamtani, T Berg-Kirkpatrick arXiv preprint arXiv:1808.10584, 2018 | 27 | 2018 |
