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Blind Super-Resolution Kernel Estimation using an Internal-GAN

Neural Information Processing Systems

However,thisisrarelythecase in real LR images, in contrast to synthetically generated SR datasets. When the assumed downscaling kernel deviates from the true one, the performance of SR methods significantly deteriorates. This gaverise toBlind-SR-namely, SR when the downscaling kernel ("SR-kernel") is unknown.




On Weak Regret Analysis for Dueling Bandits

Neural Information Processing Systems

When the optimality gap is negligible, we propose another algorithm that outperforms our first algorithm, highlighting the subtlety of this dueling bandit problem.