207 citations · 529 across the 10 of their papers we have counts for
Showing 2018Show all
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cs.NE2018★ 97 cited
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg +1
Most learning algorithms require the practitioner to manually set the values of many hyperparameters before the learning process can begin. However, with modern algorithms, the eva…
cs.CV2018
Image Generation and Translation with Disentangled Representations
Tobias Hinz, Stefan Wermter
Generative models have made significant progress in the tasks of modeling complex data distributions such as natural images. The introduction of Generative Adversarial Networks (GA…
cs.CV2018★ 8 cited
Inferencing Based on Unsupervised Learning of Disentangled Representations
Tobias Hinz, Stefan Wermter
Combining Generative Adversarial Networks (GANs) with encoders that learn to encode data points has shown promising results in learning data representations in an unsupervised way.…