第一步是训练Net-T;第二步是在高温T下,蒸馏Net-T的知识到Net-S 知识蒸馏示意图(来自https://nervanasystems.github.io/distiller/knowledge_distillation.html) 训练Net-T的过程很简单,下面详细讲讲第二步:高温蒸馏的过程。高温蒸馏过程的目标函数由distill loss(对应soft target)和student loss(对应hard target)...
第一步是训练Net-T；第二步是在高温T下，蒸馏Net-T的知识到Net-S 知识蒸馏示意图(来自https://nervanasystems.github.io/distiller/knowledge_distillation.html)第二部分Loss L hard 的必要性其实很好理解: Net-T也有一定的错误率，使用ground truth可以有效降低错误被传播给Net-S的可能。打个比方，老师虽然...
Hinton, Geoffrey, Oriol Vinyals, and Jeff Dean. "Distilling the knowledge in a neural network."arXiv preprint arXiv:1503.02531(2015). Prakhar Ganesh. "Knowledge Distillation : Simplified".https://towardsdatascience.com/knowledge-distillation-simplified-dd4973dbc764, 2019....
Fig. 14. A simplified overview of knowledge distillation. Distillation is then performed training the student network on a reduced dataset using two separate losses, as shown in Fig. 14. The student loss measures the difference between the student network's hard predictions and the reduced dataset...
Knowledge distillationDespite the effectiveness of utilizing the BERT model for document ranking, the high computational cost of such approaches limits their uses. To this end, this paper first empirically investigates the effectiveness of two knowledge distillation models on the document ranking task. ...
Revisit Knowledge Distillation: a Teacher-free Framework (Revisiting Knowledge Distillation via Label Smoothing Regularization). Yuan, Li et al. CVPR 2020[code] Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher. Mirzadeh et al. arXiv:1902.03393 ...
knowledge distillation emerge, which greatly promotes the development of computer vision tasks. For example, Zhang et al.28proposed a mutual learning strategy, which constitutes a mutual teaching and learning mechanism between two networks. Zhang et al.29proposed a self-distillation strategy, which ...
个模型里面去。...[2] 深度压缩之蒸馏模型 - 风雨兼程的文章 - 知乎: https://zhuanlan.zhihu.com/p/24337627> [3] 知识蒸馏Knowledge Distillation.../knowledge-distillation-simplified-dd4973dbc764 [5] knowledge_distillation: https://nervanasystems.github.io.../distiller/knowledge_distillation.html -...
indicating that the local model can distill the refined knowledge of the global model. FedX-enhanced models also have larger inter-class angles, demonstrating better class discrimination (see Figure 3-b). The paper “FedX: Unsupervised Federated Learning with Cross Kno...
FIG. 5 is a simplified diagram of a method for running the student model according to some embodiments. FIG. 6 is a simplified diagram of a method for multi-task distillation according to some embodiments. FIGS. 7A-7D illustrate example results of the multi-task language model distillation fra...