Reparameterization Trick
حيلة إعادة البَرمَتَة
تقنية تنقل العشوائية إلى خارج المخطط الحسابي بتمثيل العينة z كدالة حتمية z = μ + σ·ε حيث ε ضوضاء خارجية، مما يُمكِّن التحديث التراجعي عبر خطوة السحب العشوائي.
A technique that moves randomness outside the computation graph by expressing the sample z as a deterministic function z = μ + σ·ε where ε is external noise, enabling backpropagation through the sampling step.
Also translated asخدعة إعادة الصياغة المعاملية، حيلة إعادة المعلمة، إعادة البرمتة
First appears in this corpus in: Auto-Encoding Variational Bayes (2013)
Appears in these papers
- beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework2017in the sky ✦
- Denoising Diffusion Probabilistic Models2020in the sky ✦
- Denoising Diffusion Probabilistic Models2020in the sky ✦
- Variational Inference with Normalizing Flows2015in the sky ✦
- Variational Inference with Normalizing Flows2015in the sky ✦
- Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor2018in the sky ✦
- Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor2018in the sky ✦
- Auto-Encoding Variational Bayes2013in the sky ✦
- Auto-Encoding Variational Bayes2013in the sky ✦