David Weiss
David Weiss
Verified email at google.com
Cited by
Cited by
Globally normalized transition-based neural networks
D Andor, C Alberti, D Weiss, A Severyn, A Presta, K Ganchev, S Petrov, ...
arXiv preprint arXiv:1603.06042, 2016
Structured training for neural network transition-based parsing
D Weiss, C Alberti, M Collins, S Petrov
arXiv preprint arXiv:1506.06158, 2015
Linguistically-informed self-attention for semantic role labeling
E Strubell, P Verga, D Andor, D Weiss, A McCallum
arXiv preprint arXiv:1804.08199, 2018
Parsing human motion with stretchable models
B Sapp, D Weiss, B Taskar
CVPR 2011, 1281-1288, 2011
Structured prediction cascades
D Weiss, B Taskar
Proceedings of the Thirteenth International Conference on Artificial …, 2010
Understanding objects in detail with fine-grained attributes
A Vedaldi, S Mahendran, S Tsogkas, S Maji, R Girshick, J Kannala, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2014
Stack-propagation: Improved representation learning for syntax
Y Zhang, D Weiss
arXiv preprint arXiv:1603.06598, 2016
Mixed Membership Matrix Factorization.
LW Mackey, DJ Weiss, MI Jordan
ICML, 711-718, 2010
Sidestepping intractable inference with structured ensemble cascades
D Weiss, B Sapp, B Taskar
State-of-the-art Chinese word segmentation with Bi-LSTMs
J Ma, K Ganchev, D Weiss
arXiv preprint arXiv:1808.06511, 2018
Improved transition-based parsing and tagging with neural networks
C Alberti, D Weiss, G Coppola, S Petrov
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
Learning adaptive value of information for structured prediction
DJ Weiss, B Taskar
Advances in neural information processing systems 26, 953-961, 2013
Scalpel: Segmentation cascades with localized priors and efficient learning
D Weiss, B Taskar
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
Listening for recollection: a multi-voxel pattern analysis of recognition memory retrieval strategies
JR Quamme, DJ Weiss, KA Norman
Frontiers in Human Neuroscience 4, 61, 2010
Dragnn: A transition-based framework for dynamically connected neural networks
L Kong, C Alberti, D Andor, I Bogatyy, D Weiss
arXiv preprint arXiv:1703.04474, 2017
Dynamic structured model selection
D Weiss, B Sapp, B Taskar
Proceedings of the IEEE International Conference on Computer Vision, 2656-2663, 2013
SyntaxNet models for the CoNLL 2017 shared task
C Alberti, D Andor, I Bogatyy, M Collins, D Gillick, L Kong, T Koo, J Ma, ...
arXiv preprint arXiv:1703.04929, 2017
Natural language processing with small feed-forward networks
JA Botha, E Pitler, J Ma, A Bakalov, A Salcianu, D Weiss, R McDonald, ...
arXiv preprint arXiv:1708.00214, 2017
Haptic rendering of tissue cutting with scissors
DJ Weiss, AM Okamura
Studies in health technology and informatics, 407-409, 2004
A fast, compact, accurate model for language identification of codemixed text
Y Zhang, J Riesa, D Gillick, A Bakalov, J Baldridge, D Weiss
arXiv preprint arXiv:1810.04142, 2018
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