Exploring Regularizing Class Wise Predictions Via Self Knowledge Distillation
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- In this video, we take a look at
- [ICASSP 2022] Iterative
- EfficientML.ai Lecture 9 -
- tl;dr: This lecture covers various effective model compression techniques such as quantization, pruning, and
- For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: 1.
In-Depth Information on Regularizing Class Wise Predictions Via Self Knowledge Distillation
Authors: Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin Description: Deep neural networks with millions of parameters may ... A Lecture 10 introduces PPT: https://github.com/scilearner/papernotclear arxiv: https://arxiv.org/abs/2003.13964 同一网络用另一个同标签样本(x', y) 对(x, ...
In this video, we dive deep into
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