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I see that using 50 inference steps is mentioned in the paper, but I don't see many details about it. I'm curious if that number was arrived at through testing, or if 50 steps was picked as a reasona…
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Use inference from FP checkpoint as teacher with L2 norm to implement knowledge distillation.
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Thank you very much for sharing the code! However, I noticed there isn't any information on which specific images were used for testing on Replica. Could you please let me know if there’s a way to acc…
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## 🚀 Feature
Use a teacher model to train a student model, which is lighter than the teacher model
It is a brilliant method for model simplification without a decrease in accuracy
## Motivation
…
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Hi.
Did you publish the code for the Knowledge Distillation loss? I couldn't find it in the code.
If it is not there, could you please publish the code?
Thanks
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### Feature motivation
When using the ready made models as parts of bigger networks it can be necessary to get the outputs of specific layers. One example are encoder-decoder style networks with skip…
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# FedNTD
* **Title:** Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
* **Venue:** NeurIPS 2022
* **Link to paper:** https://papers.nips.cc/paper_files/paper/2022/…
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另外第二阶段的正向kl与负向kl具体有什么作用呢
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配置：
!torchrun --nproc_per_node 1 \
-m FlagEmbedding.reranker.run \
--output_dir /bge-reranker-v2-m3-finetune \
--model_name_or_path /bge-reranker-v2-m3/bge-reranker-v2-m3 \
--train_data output.js…
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