GAN Hinge Loss

2000년 도입 · 논문 167편에서 사용

The GAN Hinge Loss is a hinge loss based loss function for generative adversarial networks: $$ L\_{D} = -\mathbb{E}\_{\left(x, y\right)\sim{p}\_{data}}\left[\min\left(0, -1 + D\left(x, y\right)\right)\right] -\mathbb{E}\_{z\sim{p\_{z}}, y\sim{p\_{data}}}\left[\min\left(0, -1 - D\left(G\left(z\right), y\right)\right)\right] $$ $$ L\_{G} = -\mathbb{E}\_{z\sim{p\_{z}}, y\sim{p\_{data}}}D\left(G\left(z\right), y\right) $$

출처: Geometric GAN

소개 논문: Geometric GAN