BigBiGAN Sets New Benchmark For Unsupervised Representation Learning

The guiding principle of generative models is being able to construct a convincing example of the data that it is fed with. The more realistic the image, the stronger is the evidence that the model has grasped the objective. Generative…

7 Most Exciting Deep Learning Papers Presented At ICLR 2019

The International Conference on Learning Representations (ICLR) is one of the highly regarded deep learning conferences conducted every year at the end of spring. The 2019 edition witnessed over fifteen hundred submissions of which 524 papers were accepted. ICLR considers…

Debunking Widely Held Assumptions In Unsupervised Learning Of Disentangled Representations

Machine Learning models suffer from a lack of structured data. The representations of the data are sometimes entangled. This is where prior knowledge of humans comes in handy to perform feature engineering. In order to make the algorithms to exploit…

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