Daniel Lowd
Daniel Lowd
Associate Professor of Computer Science, University of Oregon
Verified email at - Homepage
Cited by
Cited by
Hotflip: White-box adversarial examples for text classification
J Ebrahimi, A Rao, D Lowd, D Dou
arXiv preprint arXiv:1712.06751, 2017
Adversarial learning
D Lowd, C Meek
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
Markov logic: An interface layer for artificial intelligence
P Domingos, D Lowd
Synthesis Lectures on Artificial Intelligence and Machine Learning 3 (1), 1-155, 2009
Naive Bayes models for probability estimation
D Lowd, P Domingos
Proceedings of the 22nd international conference on Machine learning, 529-536, 2005
Good word attacks on statistical spam filters
D Lowd, C Meek
Proceedings of the second conference on email and anti-spam (CEAS), 125-132, 2005
Chapter 1. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation 1
TR Besold, A d’Avila Garcez, S Bader, H Bowman, P Domingos, P Hitzler, ...
Neuro-Symbolic Artificial Intelligence: The State of the Art, 1-51, 2021
The Alchemy system for statistical relational AI
S Kok, P Singla, M Richardson, P Domingos, M Sumner, H Poon, D Lowd
University of Washington, Seattle, 2005
Efficient weight learning for Markov logic networks
D Lowd, P Domingos
Knowledge Discovery in Databases: PKDD 2007, 200-211, 2007
On adversarial examples for character-level neural machine translation
J Ebrahimi, D Lowd, D Dou
arXiv preprint arXiv:1806.09030, 2018
Learning sum-product networks with direct and indirect variable interactions
A Rooshenas, D Lowd
International Conference on Machine Learning, 710-718, 2014
Unifying logical and statistical AI
P Domingos, D Lowd, S Kok, A Nath, H Poon, M Richardson, P Singla
Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer …, 2016
Machine unlearning for random forests
J Brophy, D Lowd
International Conference on Machine Learning, 1092-1104, 2021
Learning arithmetic circuits
D Lowd, P Domingos
Proc. UAI 8, 383-392, 2008
Markov logic
P Domingos, S Kok, D Lowd, H Poon, M Richardson, P Singla
Probabilistic inductive logic programming, 92-117, 2008
Learning Markov network structure with decision trees
D Lowd, J Davis
Data Mining (ICDM), 2010 IEEE 10th International Conference on, 334-343, 2010
Learning to refine an automatically extracted knowledge base using markov logic
S Jiang, D Lowd, D Dou
2012 IEEE 12th International Conference on Data Mining, 912-917, 2012
Learning Markov Networks With Arithmetic Circuits
D Lowd, A Rooshenas
16th International Conference on Artificial Intelligence and Statistics …, 2013
A joint sentiment-target-stance model for stance classification in tweets
J Ebrahimi, D Dou, D Lowd
Proceedings of COLING 2016, the 26th international conference on …, 2016
Weakly supervised tweet stance classification by relational bootstrapping
J Ebrahimi, D Dou, D Lowd
Proceedings of the 2016 conference on empirical methods in natural language …, 2016
Just add weights: Markov logic for the semantic web
P Domingos, D Lowd, S Kok, H Poon, M Richardson, P Singla
Uncertainty Reasoning for the Semantic Web I: ISWC International Workshops …, 2008
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