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Hal Daumé III
Hal Daumé III
Associate Professor of Computer Science, University of Maryland
Zweryfikowany adres z umiacs.umd.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Datasheets for datasets
T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, HD Iii, ...
Communications of the ACM 64 (12), 86-92, 2021
26262021
Frustratingly easy domain adaptation
H Daumé III
arXiv preprint arXiv:0907.1815, 2009
22182009
Co-regularized multi-view spectral clustering
A Kumar, P Rai, H Daume
Advances in neural information processing systems 24, 2011
14632011
Language (technology) is power: A critical survey of" bias" in nlp
SL Blodgett, S Barocas, H Daumé III, H Wallach
arXiv preprint arXiv:2005.14050, 2020
13452020
Deep unordered composition rivals syntactic methods for text classification
M Iyyer, V Manjunatha, J Boyd-Graber, H Daumé III
Proceedings of the 53rd annual meeting of the association for computational …, 2015
11572015
Domain adaptation for statistical classifiers
H Daume III, D Marcu
Journal of artificial Intelligence research 26, 101-126, 2006
11042006
A co-training approach for multi-view spectral clustering
A Kumar, H Daumé
Proceedings of the 28th international conference on machine learning (ICML …, 2011
10152011
Improving fairness in machine learning systems: What do industry practitioners need?
K Holstein, J Wortman Vaughan, H Daumé III, M Dudik, H Wallach
Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019
9672019
Generalized multiview analysis: A discriminative latent space
A Sharma, A Kumar, H Daume, DW Jacobs
2012 IEEE conference on computer vision and pattern recognition, 2160-2167, 2012
8532012
Search-based structured prediction
H Daumé, J Langford, D Marcu
Machine learning 75, 297-325, 2009
7182009
Learning task grouping and overlap in multi-task learning
A Kumar, H Daume III
arXiv preprint arXiv:1206.6417, 2012
6232012
Midge: Generating image descriptions from computer vision detections
M Mitchell, J Dodge, A Goyal, K Yamaguchi, K Stratos, X Han, A Mensch, ...
Proceedings of the 13th Conference of the European Chapter of the …, 2012
5932012
Corpus-guided sentence generation of natural images
Y Yang, C Teo, H Daumé III, Y Aloimonos
Proceedings of the 2011 conference on empirical methods in natural language …, 2011
5332011
A neural network for factoid question answering over paragraphs
M Iyyer, J Boyd-Graber, L Claudino, R Socher, H Daumé III
Proceedings of the 2014 conference on empirical methods in natural language …, 2014
4682014
Incorporating lexical priors into topic models
J Jagarlamudi, H Daumé III, R Udupa
Proceedings of the 13th Conference of the European Chapter of the …, 2012
4572012
Opponent modeling in deep reinforcement learning
H He, J Boyd-Graber, K Kwok, H Daumé III
International conference on machine learning, 1804-1813, 2016
3952016
When does machine learning {FAIL}? generalized transferability for evasion and poisoning attacks
O Suciu, R Marginean, Y Kaya, H Daume III, T Dumitras
27th USENIX Security Symposium (USENIX Security 18), 1299-1316, 2018
3582018
Bayesian query-focused summarization
H Daumé III
arXiv preprint arXiv:0907.1814, 2009
3222009
Learning as search optimization: Approximate large margin methods for structured prediction
H Daumé III, D Marcu
Proceedings of the 22nd international conference on Machine learning, 169-176, 2005
3192005
Learning to search in branch and bound algorithms
H He, H Daume III, JM Eisner
Advances in neural information processing systems 27, 2014
3182014
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