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Found 3 papers, 2 papers with code
Supervised and Unsupervised Learning of Parameterized Color Enhancement
We treat the problem of color enhancement as an image translation task, which we tackle using both supervised and unsupervised learning.
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Adversarial examples are important for understanding the behavior of neural models, and can improve their robustness through adversarial training.
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization
Convolutional Neural Networks (CNN) are very popular in many fields including computer vision, speech recognition, natural language processing, to name a few.
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