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Hi, I've read your latest journal work `Gradient Projection For Continual Parameter-Efficient Tuning` and confused about your deduction.
How to get the equation
$$
y_t=W_t^d x_t=W_{t+1}^d x_…
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How can I efficiently pass a pre-generated key for the TLS certificate to the AWS SSM Parameter Store, by calling the module in Terragrunt?
Can I pass it once, and then lock the changes on this modu…
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Variables that only depend on discrete-time variables and possibly on parameters change their values only at even times and are othewise constant. Therefore, they should only be computed during initia…
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It seems this is way more efficient for Rsync large files parameters for Archive
rsync --bwlimit=80000 -av --partial --inplace --append --progress --remove-source-files /path/source/plots rsync://…
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DaanZ updated
7 years ago
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This one needs support from the model too. In sircovid we might want to update _just_ `beta_step`. This is a leaf in the pre-time-varying graph and can just be written into the data, but we have issue…
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# Study notes on parameter-efficient finetuning techniques
Traditional finetuning involves training the parameters of a large language model with a shallower domain-specific network. However, this ap…
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https://arxiv.org/abs/1802.03268
https://github.com/melodyguan/enas
模型自动设计
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## 一言でいうと
コントローラーは計算グラフの中の最も最適なサブグラフの探索方法を学ぶ。ヴァリデーションセットにおける報酬がもっとも最大になるように学習していく。これは選択したサブグラフがモデルと一致するようにキャノ二カルクロスエントロピーを最小化するように学習することを意味する。論文ではGPU(GTX1080Ti)を1枚で10時間程度で学習しPenn Treebank datasetで5…
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https://github.com/Arnav0400/ViT-Slim/tree/master/GLoRA
_Since I don't have the technical knowledge to know how meaningful or relevant this is for lora in SD I'm posting it here to bring attention …