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Daniel Fried
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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
2912018
Bayesian geometric modeling of indoor scenes
L Del Pero, J Bowdish, D Fried, B Kermgard, E Hartley, K Barnard
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
1532012
Analyzing the language of food on social media
D Fried, M Surdeanu, S Kobourov, M Hingle, D Bell
2014 IEEE International Conference on Big Data (Big Data), 778-783, 2014
902014
Unified pragmatic models for generating and following instructions
D Fried, J Andreas, D Klein
arXiv preprint arXiv:1711.04987, 2017
692017
Are you looking? grounding to multiple modalities in vision-and-language navigation
R Hu, D Fried, A Rohrbach, D Klein, T Darrell, K Saenko
arXiv preprint arXiv:1906.00347, 2019
542019
Maps of computer science
D Fried, SG Kobourov
2014 IEEE Pacific Visualization Symposium, 113-120, 2014
532014
Higher-order lexical semantic models for non-factoid answer reranking
D Fried, P Jansen, G Hahn-Powell, M Surdeanu, P Clark
Transactions of the Association for Computational Linguistics 3, 197-210, 2015
522015
Effective inference for generative neural parsing
M Stern, D Fried, D Klein
arXiv preprint arXiv:1707.08976, 2017
452017
Incorporating both distributional and relational semantics in word representations
D Fried, K Duh
arXiv preprint arXiv:1412.4369, 2014
432014
Improving neural parsing by disentangling model combination and reranking effects
D Fried, M Stern, D Klein
arXiv preprint arXiv:1707.03058, 2017
372017
Pragmatically informative text generation
S Shen, D Fried, J Andreas, D Klein
arXiv preprint arXiv:1904.01301, 2019
362019
Low-rank tensors for verbs in compositional distributional semantics
D Fried, T Polajnar, S Clark
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
272015
Policy gradient as a proxy for dynamic oracles in constituency parsing
D Fried, D Klein
arXiv preprint arXiv:1806.03290, 2018
262018
Cross-domain generalization of neural constituency parsers
D Fried, N Kitaev, D Klein
arXiv preprint arXiv:1907.04347, 2019
192019
Modular networks for compositional instruction following
R Corona, D Fried, C Devin, D Klein, T Darrell
arXiv preprint arXiv:2010.12764, 2020
18*2020
A generative probabilistic framework for learning spatial language
CR Dawson, J Wright, A Rebguns, MV Escárcega, D Fried, PR Cohen
2013 IEEE Third Joint International Conference on Development and Learning …, 2013
172013
Learning to segment actions from observation and narration
D Fried, JB Alayrac, P Blunsom, C Dyer, S Clark, A Nematzadeh
arXiv preprint arXiv:2005.03684, 2020
132020
Crowdsourcing in the software development industry
D Fried
Nexus of Entrepreneurship and Technology Initiative Fall, 2010
122010
Predicting parallelization of sequential programs using supervised learning
D Fried, Z Li, A Jannesari, F Wolf
2013 12th international conference on machine learning and applications 2, 72-77, 2013
112013
Incoder: A generative model for code infilling and synthesis
D Fried, A Aghajanyan, J Lin, S Wang, E Wallace, F Shi, R Zhong, W Yih, ...
arXiv preprint arXiv:2204.05999, 2022
92022
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