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A Deep Matrix Factorization Method for Learning Attribute Representations., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 39 (3): 417-429 (2017)Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks., , , , and . CoRR, (2016)Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks., , , , , , , , and . CVPR, page 12627-12637. Computer Vision Foundation / IEEE, (2019)XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings., , , , , , and . CoRR, (2017)Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks., , , , , , , , and . CoRR, (2018)Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures., , , , and . ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 531-547. Springer, (2013)Improving Evolutionary Algorithms with Scouting: High-Dimensional Problems., , and . ICAISC, volume 5097 of Lecture Notes in Computer Science, page 365-375. Springer, (2008)Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach., , , , and . CoRR, (2018)Infinite Hidden Conditional Random Fields for Human Behavior Analysis., , , and . IEEE Trans. Neural Netw. Learning Syst., 24 (1): 170-177 (2013)Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping., , , , , , , , , and 2 other author(s). ICRA, page 4243-4250. IEEE, (2018)