The new code on github (https://github.com/ShiYunyi/Meta-Weight-Net_Code-Optimization) has implemented the MW-Net based on the newest pytorch and torchvision version. It rewrites an optimizer to assign non leaf node tensors to model parameters. Thus it does not need to rewrite the nn.Modu...
分析:该论文研究了使用集成方法来缓解奖励模型的过度优化问题,通过worst-case optimization (WCO)和uncertainty-weighted optimization (UWO)方法在两种优化方法(最优采样和邻域策略优化)下进行实验,发现集成方法可以有效地消除过度优化,并提高性能。 地址:https://arxiv.org/pdf/2310.02743 6. Kosmos-G:在多模态大语言...
Meta-weight-net: Learning an explicit mapping for sample weighting [paper] Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng --NeurIPS 2019 Learning to Reweight Examples for Robust Deep Learning [paper] Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun --ICM...
code:https://github.com/deng-ai-lab/TEMPO openreview:https://openreview.net/forum?id=IN3hQx1BrC 7 7 7 5 webpage: Contributions Dreamer系列里,model(RSSM)的学习和policy的学习是分开的,作者引入一个meta-weighter,使得model learning过程也考虑到对值函数的影响。 Methodology Dreamer学习model基于最大似...
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ZeroWeightOptimization 類型: Edm.Boolean AllRuleCalcStargateOptimization 類型: Edm.Boolean UseStargateForRules 類型: Edm.Boolean StartupSettings 新增: 11.0.0 表146. StartupSettings 內容 名稱詳細資料 PersistentFeeders 類型: Edm.Boolean MaximumCubeLoadThreads 類型: Edm.Int32 LoadPrivateSubsetsOn啟...
The efficiency improvement of 61% was achieved without any optimization of the system. In Supplementary Notes 3 we present the effect of various parameters, such as the number of bi-stable elements in the capsule and the mass of the encapsulated gas. In the figures presented in the ...
A random forest was used as meta-regressor, tuning its main parameters through Bayesian optimization. The parameters tuned were the number of trees, the maximum depth of each tree, the maximum number of features considered at each split, the minimum number of samples before considering a split ...
:exclamation: This is a read-only mirror of the CRAN R package repository. netmeta — Network Meta-Analysis using Frequentist Methods. Homepage: https://github.com/guido-s/netmeta https://link.
scikit-learnhyperparameter-optimizationbayesian-optimizationhyperparameter-tuningautomlautomated-machine-learningsmacmeta-learninghyperparameter-searchmetalearning UpdatedNov 29, 2024 Python learnables/learn2learn Star2.7k Code Issues Pull requests A PyTorch Library for Meta-learning Research ...