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Recent advances in AI and robotics have claimed many incredible results with deep learning, yet no work to date has applied deep learning to the problem of liquid perception and reasoning.
Long short-term memory
Hochreiter, S., Schmidhuber, J.: · 1997
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Okada, K., Kojima, M., Sagawa, Y., Ichino, T., Sato, K., Inaba, M.: · 2006
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Körner, C., Pohl, T., Rüde, U., Thürey, N., Zeiser, T.: · 2006
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Rankin, A., Matthies, L.: · 2010
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Tamosiunaite, M., Nemec, B., Ude, A., Wörgötter, F.: · 2011
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Rankin, A.L., Matthies, L.H., Bellutta, P.: · 2011
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Cakmak, M., Thomaz, A.L.: · 2012
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Object categorization in the sink: Learning behavior–grounded object categories with water
Griffith, S., Sukhoy, V., Wegter, T., Stoytchev, A.: · 2012
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Guo, X., Singh, S., Lee, H., Lewis, R.L., Wang, X.: · 2014
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Langsfeld, J., Kaipa, K., Gentili, R., Reggia, J., Gupta, S.: · 2014
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Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: · 2014
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Yamaguchi, A., Atkeson, C.G.: · 2015
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Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., Darrell, T.: · 2015
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Brain tumor segmentation with deep neural networks
Havaei, M., Davy, A., Warde-Farley, D., Biard, A., Courville, A., Bengio, Y., Pal, C., Jodoin, P.M., Larochelle, H.: · 2015
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Recurrent instance segmentation
Romera-Paredes, B., Torr, P.H.: · 2015
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Greff, K., Srivastava, R.K., Koutník, J., Steunebrink, B.R., Schmidhuber, J.: · 2015
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Kingma, D., Ba, J.: · 2014
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End-to-end training of deep visuomotor policies
Levine, S., Finn, C., Darrell, T., Abbeel, P.: · 2015
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Envisioning the qualitative effects of robot manipulation actions using simulation-based projections
Kunze, L., Beetz, M.: · 2015
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Oh, J., Guo, X., Lee, H., Lewis, R.L., Singh, S.: · 2015
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Blender - A 3D modelling and rendering package
Blender Online Community: · 2016
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