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'Capsule' models try to explicitly represent the poses of objects, enforcing a linear relationship between an object's pose and that of its constituent parts.
Learning to parse images
Hinton, G. E., Ghahramani, Z., and Teh, Y. W · 2000
Earlier work this paper cites.
Image modeling with position-encoding dynamic trees
Storkey, A. and Williams, C · 2003
Earlier work this paper cites.
Transforming auto-encoders
Hinton, G. E., Krizhevsky, A., and Wang, S. D · 2011
Earlier work this paper cites.
Auto-encoding variational bayes
Kingma, D. P. and Welling, M · 2013
Earlier work this paper cites.
Stochastic backpropagation and approximate inference in deep generative models
Rezende, D. J., Mohamed, S., and Wierstra, D · 2014
Earlier work this paper cites.
Optimizing neural networks that generate images
Tieleman, T · 2014
Earlier work this paper cites.
Categorical reparameterization with gumbel-softmax
Jang, E., Gu, S., and Poole, B · 2016
Cited alongside, same era.
The concrete distribution: A continuous relaxation of discrete random variables
Maddison, C. J., Mnih, A., and Teh, Y. W · 2016
Cited alongside, same era.
Dynamic routing between capsules
Sabour, S., Frosst, N., and Hinton, G. E · 2017
Cited alongside, same era.
Pyro: Deep Universal Probabilistic Programming
Bingham, E., Chen, J. P., Jankowiak, M., Obermeyer, F., Pradhan, N., Karaletsos, T., Singh, R., Szerlip, P., Horsfall, P., and Goodman, N. D · 2018
Cited alongside, same era.
Matrix capsules with em routing
Hinton, G. E., Sabour, S., and Frosst, N · 2018
Cited alongside, same era.
Sparse unsupervised capsules generalize better
Rawlinson, D., Ahmed, A., and Kowadlo, G · 2018
Later among the works it cites.
Multi-object representation learning with iterative variational inference
Greff, K., Kaufmann, R. L., Kabra, R., Watters, N., Burgess, C., Zoran, D., Matthey, L., Botvinick, M., and Lerchner, A · 2019
Later among the works it cites.
Kosiorek, A. R., Sabour, S., Teh, Y. W., and Hinton, G. E · 2019
Later among the works it cites.
Set transformer: A framework for attention-based permutation-invariant neural networks
Lee, J., Lee, Y., Kim, J., Kosiorek, A., Choi, S., and Teh, Y. W · 2019
Later among the works it cites.
The thermodynamic variational objective
Masrani, V., Le, T. A., and Wood, F · 2019
Later among the works it cites.
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Le, T. A., Kosiorek, A. R., Siddharth, N., Teh, Y. W., and Wood, F · 2018
Cited alongside, same era.