Consistency Distillation Loss为: \mathcal{L}_{\mathcal{C D}}\left(\boldsymbol{\theta}, \boldsymbol{\theta}^{-} ; \Psi\right)=\mathbb{E}_{\boldsymbol{z}, \boldsymbol{c}, n}\left[d\left(\boldsymbol{f}_{\boldsymbol{\theta}}\left(\boldsymbol{z}_{t_{n+1}}, \boldsymbol{c...
利用两个相邻的timestep的生成一致性进行训练,假定了ODE求解器为Euler,对第n和n+1步的加噪图使用一致性模型预测,利用无偏估计 \nabla\log p_t(\mathbf{x}_t)=-\mathbb{E}\left[\left.\frac{\mathbf{x}_t-\mathbf{x}}{t^2}\right|\mathbf{x}_t\right]来计算loss \mathcal{L}_{CT}^N(\bold...
Whether the function of binding a BD to a VLAN in enhanced mode is enabled on both devices in the M-LAG NOTE: If one of the two devices in an M-LAG does not support enhanced consistency check for M-LAG route convergence, the device does not perform consistency check for enhanced M-...
Key configuration (Type 1): If the configurations of the two M-LAG member devices are inconsistent, certain problems can occur, such as loops and long-period packet loss, even if the M-LAG status is normal. If the key configurations on the M-LAG member devices are inconsistent, the follow...
The model is trained by using a similar procedure and loss function to those of CycleGAN and learns to transfer the style of a document to its summary and vice versa. Our method can be applied to multiple languages, but this paper focuses on its performance on Chinese documents. We trained...
Backup Your Data: Although consistency checks are designed to detect and correct errors, there is always a risk of data loss. Ensure you have a complete backup of your data before starting the process. Check System Resources: Ensure your system has enough resources, such as CPU and memory, ...
3.2.4 Training and Inference Our final loss function is the weighted sum of the POC, frame-level and video-level losses, discussed above. In each iteration of the training, we sample a batch of videos from the same task to learn action ordering. We do n...
This loss function imposes a penalty on the student model when its predictions substantially differ from those of the teacher model, promoting agreement and mitigating potential errors introduced by the pseudo-labels. In essence, the teacher model acts as a guide for the student model, ultimately ...
To enforce self-consistency, a loss function is applied to ensure that the outputs of the online network and the target network are consistent. 💻 Installation See INSTALL.md for installation instructions. 📚 Config Algorithms. We provide the implementation of the following algorithms: DP3: dp3...
假如我们已经有了一个ground truth score function \bold s_{\phi^*}(\bold x,t)=\nabla\log p_t(\bold x_t) ,可以证明这个估计的loss与给定ground truth score function的loss之间的误差趋于0,即 \mathcal L_{CD}^N(\theta,\theta^-;\phi^*) - \mathcal L_{CT}^N(\theta,\theta^-)=o(\...