Hal Daumé III
Hal Daumé III
Associate Professor of Computer Science, University of Maryland
Vahvistettu sähköpostiosoite verkkotunnuksessa umiacs.umd.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Frustratingly easy domain adaptation
H Daumé III
arXiv preprint arXiv:0907.1815, 2009
16822009
Domain adaptation for statistical classifiers
H Daume III, D Marcu
Journal of artificial Intelligence research 26, 101-126, 2006
8972006
Co-regularized multi-view spectral clustering
A Kumar, P Rai, H Daume
Advances in neural information processing systems 24, 1413-1421, 2011
7952011
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
6442012
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
6342015
A co-training approach for multi-view spectral clustering
A Kumar, H Daumé
Proceedings of the 28th international conference on machine learning (ICML …, 2011
6322011
Search-based structured prediction
H Daumé, J Langford, D Marcu
Machine learning 75 (3), 297-325, 2009
5772009
Learning task grouping and overlap in multi-task learning
A Kumar, H Daume III
arXiv preprint arXiv:1206.6417, 2012
4292012
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
3832012
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
3732014
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
3692011
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
3022005
Datasheets for datasets
T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, ...
arXiv preprint arXiv:1803.09010, 2018
2682018
Bayesian query-focused summarization
H Daumé III
arXiv preprint arXiv:0907.1814, 2009
2632009
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
2202012
Frustratingly easy semi-supervised domain adaptation
H Daumé III, A Kumar, A Saha
Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language …, 2010
2022010
Notes on CG and LM-BFGS optimization of logistic regression
H Daumé III
Paper available at http://pub. hal3. name# daume04cg-bfgs, implementation …, 2004
1792004
Co-regularization based semi-supervised domain adaptation
A Kumar, A Saha, H Daume
Advances in neural information processing systems 23, 478-486, 2010
1762010
Learning to search better than your teacher
KW Chang, A Krishnamurthy, A Agarwal, H Daume, J Langford
International Conference on Machine Learning, 2058-2066, 2015
1692015
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
1612019
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