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hi,
can I use "knowledge distillation" and "dimension reduction" for Bert-large?
and if it is possible, for knowledge distillation how many layers should be remained in option2 ?
and for dimension …
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Could you help to add the paper the list?
Paper (Oral): Boosting 3D Object Detection by Simulating Multimodality on Point Clouds
Paper Link: https://arxiv.org/abs/2206.14971
Thanks!
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## Summary
Dino 방식으로 학습된 transformer 아키텍처를 잘 활용하면, 아주 간단하게 multi-class anomaly detection을 수행할 수 있다. 1) Noi…
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I suggest both training loss function without KD and with KD should add a softmax function, because the outputs of models are without softmax. Just like this.
https://github.com/peterliht/knowledge-d…
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Can you provide the details of the model is fine-tuned for 1000 epochs with DeiT-style knowledge distillation? Thanks!
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Hello, @545999961.
I was fine-tuning bge-m3, and found a bug when not using `knowledge_distilation` parameter.
This was my training script:
```
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 torchrun --np…
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Hi, I have a problem about: what is the valu of T or self.tau do you have choiced? or How can i set the value while training my project?
T = self.tau
# taken from https://git…
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If so, in the full-stage knowledge distillation, the image encoder is randomly initialized, is the mask decoder finetuned at a smaller learning rate than the light weight image encoder? Is this consis…
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## タイトル: ハイブリッド段階的蒸留スパイキングニューラルネットワークを用いた低遅延イベントベース視覚認識に向けて
## リンク: https://arxiv.org/abs/2409.12507
## 概要:
スパイクニューラルネットワーク(SNN)は、その低消費電力と高い生物学的解釈可能性から大きな注目を集めています。豊富な時空間情報処理能力とイベント駆動型という性質から、ニューロ…
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1.非常好的项目，请问作者有没有计划支持GTCRN的回声消除模型。