35 citations · 44 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 1 cited
Supervised and Unsupervised Learning of Parameterized Color Enhancement
Yoav Chai, Raja Giryes, Lior Wolf
We treat the problem of color enhancement as an image translation task, which we tackle using both supervised and unsupervised learning. Unlike traditional image to image generator…
cs.LG2019★ 8 cited
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Yotam Gil, Yoav Chai, Or Gorodissky +1
Adversarial examples are important for understanding the behavior of neural models, and can improve their robustness through adversarial training. Recent work in natural language p…
cs.CV2018★ 35 cited
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization
Chaim Baskin, Natan Liss, Yoav Chai +5
Convolutional Neural Networks (CNN) are very popular in many fields including computer vision, speech recognition, natural language processing, to name a few. Though deep learning…