Taylor Berg-Kirkpatrick
Taylor Berg-Kirkpatrick
Overená e-mailová adresa na: - Domovská stránka
Citované v
Citované v
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
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
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
Learning bilingual lexicons from monolingual corpora
A Haghighi, P Liang, T Berg-Kirkpatrick, D Klein
Proceedings of ACL-08: Hlt, 771-779, 2008
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
Lagging inference networks and posterior collapse in variational autoencoders
J He, D Spokoyny, G Neubig, T Berg-Kirkpatrick
arXiv preprint arXiv:1901.05534, 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
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
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
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
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
Learning-based single-document summarization with compression and anaphoricity constraints
G Durrett, T Berg-Kirkpatrick, D Klein
arXiv preprint arXiv:1603.08887, 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
Beyond BLEU: training neural machine translation with semantic similarity
J Wieting, T Berg-Kirkpatrick, K Gimpel, G Neubig
arXiv preprint arXiv:1909.06694, 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
A probabilistic formulation of unsupervised text style transfer
J He, X Wang, G Neubig, T Berg-Kirkpatrick
arXiv preprint arXiv:2002.03912, 2020
Learning to describe differences between pairs of similar images
H Jhamtani, T Berg-Kirkpatrick
arXiv preprint arXiv:1808.10584, 2018
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
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
A surprisingly effective fix for deep latent variable modeling of text
B Li, J He, G Neubig, T Berg-Kirkpatrick, Y Yang
arXiv preprint arXiv:1909.00868, 2019
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