Följ
He He
Titel
Citeras av
Citeras av
År
QuAC: Question answering in context
E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi, P Liang, L Zettlemoyer
arXiv preprint arXiv:1808.07036, 2018
5772018
Delete, retrieve, generate: a simple approach to sentiment and style transfer
J Li, R Jia, H He, P Liang
arXiv preprint arXiv:1804.06437, 2018
4462018
Single image super-resolution using Gaussian process regression
H He, WC Siu
CVPR 2011, 449-456, 2011
3432011
Opponent modeling in deep reinforcement learning
H He, J Boyd-Graber, K Kwok, H Daumé III
International conference on machine learning, 1804-1813, 2016
2562016
Sharp nearby, fuzzy far away: How neural language models use context
U Khandelwal, H He, P Qi, D Jurafsky
arXiv preprint arXiv:1805.04623, 2018
2502018
Learning to search in branch and bound algorithms
H He, H Daume III, JM Eisner
Advances in neural information processing systems 27, 2014
1912014
FEQA: A question answering evaluation framework for faithfulness assessment in abstractive summarization
E Durmus, H He, M Diab
arXiv preprint arXiv:2005.03754, 2020
1892020
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
H He, A Balakrishnan, M Eric, P Liang
Association for Computational Linguistics (ACL), 2017
1862017
Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing
J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ...
The Journal of Machine Learning Research 21 (1), 845-851, 2020
1672020
Unlearn dataset bias in natural language inference by fitting the residual
H He, S Zha, H Wang
arXiv preprint arXiv:1908.10763, 2019
1292019
Imitation learning by coaching
H He, J Eisner, H Daume
Advances in neural information processing systems 25, 2012
1112012
Don’t until the final verb wait: Reinforcement learning for simultaneous machine translation
A Grissom II, H He, J Boyd-Graber, J Morgan, H Daumé III
Proceedings of the 2014 Conference on empirical methods in natural language …, 2014
942014
An empirical study on robustness to spurious correlations using pre-trained language models
L Tu, G Lalwani, S Gella, H He
Transactions of the Association for Computational Linguistics 8, 621-633, 2020
862020
Decoupling strategy and generation in negotiation dialogues
H He, D Chen, A Balakrishnan, P Liang
arXiv preprint arXiv:1808.09637, 2018
862018
Besting the quiz master: Crowdsourcing incremental classification games
J Boyd-Graber, B Satinoff, H He, H Daumé III
Proceedings of the 2012 joint conference on empirical methods in natural …, 2012
632012
Pun generation with surprise
H He, N Peng, P Liang
arXiv preprint arXiv:1904.06828, 2019
572019
Interpretese vs. translationese: The uniqueness of human strategies in simultaneous interpretation
H He, J Boyd-Graber, H Daumé III
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
572016
Dynamic feature selection for dependency parsing
H He, H Daumé III, J Eisner
Proceedings of the 2013 conference on empirical methods in natural language …, 2013
572013
Cost-sensitive dynamic feature selection
H He, H Daumé III, J Eisner
ICML Inferning Workshop, 2012
512012
Rare class classification by support vector machine
H He, A Ghodsi
2010 20th International Conference on Pattern Recognition, 548-551, 2010
382010
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Artiklar 1–20