Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation

3 May 2017

Papers citing "Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation"

4 / 4 papers shown

Title
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 33 134 0 07 Jun 2019
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness Raphael Suter Ðorðe Miladinovic Bernhard Schölkopf Stefan Bauer CML OOD DRL 19 159 0 31 Oct 2018
Structured Generative Adversarial Networks Zhijie Deng Huatian Zhang Xiaodan Liang Luona Yang Shizhen Xu Jun Zhu Eric Xing GAN 31 53 0 02 Nov 2017
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 250 3,191 0 30 Oct 2016