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This paper develops a novel methodology for using symbolic knowledge in deep learning.
Elementary information theory
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Comparing the use of background knowledge by inductive logic programming systems
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A knowledge compilation map
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Darwiche, A · 2003
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Performing bayesian inference by weighted model counting
Sang, T., Beame, P., and Kautz, H. A · 2005
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Learning and inference with constraints
Chang, M.-W., Ratinov, L.-A., Rizzolo, N., and Roth, D · 2008
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Chavira, M. and Darwiche, A · 2008
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Mixed deterministic and probabilistic networks
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Search-based structured prediction
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Overview of supervised learning
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Posterior regularization for structured latent variable models
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Rectified linear units improve restricted boltzmann machines
Nair, V. and Hinton, G. E · 2010
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SDD: A new canonical representation of propositional knowledge bases
Darwiche, A · 2011
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A short introduction to probabilistic soft logic
Kimmig, A., Bach, S. H., Broecheler, M., Huang, B., and Getoor, L · 2012
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Imagenet classifcation with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E · 2012
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Translating embeddings for modeling multi-relational data
Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., and Yakhnenko, O · 2013
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A constrained latent variable model for coreference resolution
Chang, K.-W., Samdani, R., and Roth, D · 2013
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Preflib: A library of preference data http://preflib.org
Mattei, N. and Walsh, T · 2013
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Large-scale object classification using label relation graphs
Deng, Ding, N., Jia, Y., Frome, A., Murphy, K., Bengio, S., Li, Y., Neven, H., and Adam, H · 2014
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Semi-supervised learning with deep generative models
Kingma, D. P., Mohamed, S., Jimenez Rezende, D., and Welling, M · 2014
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Probabilistic sentential decision diagrams
Kisa, D., Van den Broeck, G., Choi, A., and Darwiche, A · 2014
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Semi-supervised learning using an unsupervised atlas
Pitelis, N., Russell, C., and Agapito, L · 2014
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Structured features in naive Bayes classification
Choi, A., Tavabi, N., and Darwiche, A · 2016
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Lifted rule injection for relation embeddings
Demeester, T., Rocktäschel, T., and Riedel, S · 2016
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Hybrid computing using a neural network with dynamic external memory
Graves, A., Wayne, G., Reynolds, M., Harley, T., Danihelka, I., Grabska-Barwińska, A., Colmenarejo, S. G., Grefenstette, E., Ramalho, T., Agapiou, J., et al · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Harnessing deep neural networks with logic rules
Hu, Z., Ma, X., Liu, Z., Hovy, E., and Xing, E · 2016
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Distributional smoothing with virtual adversarial training
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Joint relational embeddings for knowledge-based question answering
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Tractable learning for structured probability spaces: A case study in learning preference distributions
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Semantic-based regularization for learning and inference
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