积分概率度量(Integral Probability Metric)
Integral Probability Metric.积分概率度量(integral probability metrics, IPM)用于衡量两个概率分布$p(x)$和$q(x)$之间的“距离” (相似性)。对于两个概率分布$p(x)$和...
Integral Probability Metric.积分概率度量(integral probability metrics, IPM)用于衡量两个概率分布$p(x)$和$q(x)$之间的“距离” (相似性)。对于两个概率分布$p(x)$和...
Metric Learning.
Lipschitz Continuity Condition. Lipschitz连续条件的定义 神经网络中的Lipschitz约束 实现Lipschitz约束的方法:权重裁剪、梯度惩罚、谱归一化、梯度归一化1. 利普希茨连续条件的定义...
Differentiate the model input using torch.autograd.grad.
Self-Supervised Learning.
Constrained Optimization Problem and Dual Problem.本文目录: 约束优化问题 最大最小不等式(max-min inequality)与弱对偶关系 极小极大定理(minimax theore...