Before revision:  We propose an explicit spectral regularization scheme that is able to make DMF models competitive on real benchmarks, while still maintaining the implicit regularization induced by gradient descent, thus enjoying the best of both worlds .
After revision:  We propose an explicit spectral regularization scheme that is able to make DMF models competitive on real benchmarks, while exhibiting one of the first successful applications of deep linear networks .