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https://arxiv.org/pdf/1802.08988.pdf
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### Describe the bug
While training flux-controlnet on a multi-GPU server and restricting the training to a single GPU, setting **_num_single_layers=0_** leads to an error:
[rank0]: Parameter indi…
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LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
https://arxiv.org/abs/2302.08191
```bib
@misc{cai2023lightgclsimpleeffectivegraph,
title={LightGCL: Simple Yet Ef…
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http://icml.cc/2015/wp-content/uploads/2015/06/icml_ranking.pdf
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We should evaluate if this is useable for us.
http://yonik.com/solr-6-4/
* What does it do?
* How does it work?
* Can we integrate it?
* To use click behaviour
* Other user behaviour o…
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### Is your feature request related to a problem? Please describe
Set `opensearch-learning-to-rank-base` plugin 3.0.0 baseline JDK version to JDK-21
### Describe the solution you'd like
See p…
reta updated
5 months ago
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# Self Grading Checklist
All self and by peer grading must be complete prior to Teacher review date(s). Show a direct link to the tangible(s) for each line item.
## Sprint1 Key Objectives
Durin…
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- Create a SMOL and a BIG config.
- SMOL should run instantly: Small data, small model, small configs, small training run.
- BIG can take longer and more closely mimic a real workload.
- Create a d…
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## Grading Overview
All self and peer grading must be completed prior to Teacher review date(s). Ensure there is a direct link to the tangible(s) for each line item.
### Sprint 1 Key Objectives
…
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## ざっくり言うと
- ランク学習をオンラインで行う場合にパラメータ更新の勾配の分散を小さく抑えるという内容
- オンライン学習は"dueling bandit"という，ランダムなアップデートによりモデルが改善するかどうかを判断しながら学習していく方法を用いる
- 1回のアップデート時に用いた文書が張る空間にアップデートの勾配を制限することで，分散を小さく抑える(Document Spac…