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As is written in your article:.“p” stands for using weights in T as initialization, “d” stands for applying knowledge distillation with T as the teacher.
My question is：Does “using weights in T as in…
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https://wandb.ai/balthazarneveu/geosciences-segmentation
- [x] LR scheduler (plateau)
- [x] Validation accuracy
- [x] Validation Metric IoU, dice coeff
- [x] Augmentations (vertical reverse, hor…
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Hi ! Thank you for you awesome work. There is one detail I don't quite understand. Since the data is unpaired, the two labels are different, why can KL loss be used to constraint the student model?
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今天拜读了您的论文“Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs”，我认为您提出的idea和方法非常精炼且实用，给了我很大的启发；不知您之后是否会开源这个工作的相关代码，如果能开源的话那真的是不胜感激
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### **Initial action plans**
Copying these things from the wav2vec2 repo for safe housekeeping.
* An immediate quantize could be to convert the fine-tuned model using TFLite APIs. [Post-trainin…
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# Learning from Noisy Labels with Distillation #
- Author: Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Jia Li
- Origin: [https://arxiv.org/abs/1703.02391v1](https://arxiv.org…
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# TensorRT Model Optimizer - Product Roadmap
[TensorRT Model Optimizer](https://github.com/NVIDIA/TensorRT-Model-Optimizer) (ModelOpt)’s north star is to be the best-in-class model optimization toolki…
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## 简介
non-autogression decoding. 用iterative的方式不断refine已有的翻译结果。第一轮是完全NAT，然后再次基础上，选择confidence差的N个词，mask掉，去对mask的内容进行refine，迭代X轮结束。对mask的恢复过程类似BERT。整篇文章读起来很舒服，听起来也合理。后面实验部分也很饱满。
## 论文信息
* Author: F…
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Hello.
I really enjoyed reading your paper and the code. But I have a confusion that the "Stochastic precision" and "hint-based knowledge distillation" presented in "Effective Training of Convolution…
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[Paper](https://arxiv.org/abs/2104.14294)
[Code](https://github.com/facebookresearch/dino)
Authors:
Mathilde Caron, Hugo Touvron, etc.
FBAI.
![](https://raw.githubusercontent.com/fac…
XFeiF updated
3 years ago