
PRDP: Proximal Reward Difference Prediction - GitHub Pages
In this paper, we propose Proximal Reward Difference Prediction (PRDP), enabling stable black-box reward finetuning for diffusion models for the first time on large-scale prompt datasets with over 100K prompts.
[2402.08714] PRDP: Proximal Reward Difference Prediction for …
2024年2月13日 · In this paper, we propose Proximal Reward Difference Prediction (PRDP), enabling stable black-box reward finetuning for diffusion models for the first time on large-scale prompt datasets with over 100K prompts.
In this paper, we propose Proximal Reward Dif-ference Prediction (PRDP), enabling stable black-box re-ward finetuning for diffusion models for the first time on large-scale prompt datasets with over 100K prompts. Our key innovation is the Reward Difference Prediction (RDP) objective that has the same optimal solution as the RL ob-
PRDP: Proximal Reward Difference Prediction - arXiv.org
This paper presents PRDP, the first black-box reward finetuning method for diffusion models that is stable on large-scale prompt datasets with over 100 100 100 100 K prompts. We achieve this by converting the RLHF objective to an equivalent supervised regression objective and developing its stable optimization algorithm.
PRDP:扩散模型大规模奖励微调的近端奖励差异预测,arXiv - CS
在本文中,我们提出了近端奖励差异预测(prdp),首次在具有超过 100k 提示的大规模提示数据集上实现了扩散模型的稳定黑盒奖励微调。 我们的关键创新是奖励差异预测(RDP)目标,它具有与 RL 目标相同的最优解,同时具有更好的训练稳定性。
[2502.19611] PRDP: Progressively Refined Differentiable Physics
2025年2月26日 · We propose Progressively Refined Differentiable Physics (PRDP), an approach that identifies the level of physics refinement sufficient for full training accuracy. By beginning with coarse physics, adaptively refining it during training, and stopping refinement at the level adequate for training, it enables significant compute savings without ...
PRDP (ICLR 2025) - Progressively Refined Differentiable Physics ...
We propose Progressively Refined Differentiable Physics (PRDP), an approach that identifies the level of physics refinement sufficient for full training accuracy. By beginning with coarse physics, adaptively refining it during training, and stopping refinement at the level adequate for training, it enables significant compute savings without ...
CVPR 2024 Open Access Repository
In this paper we propose Proximal Reward Difference Prediction (PRDP) enabling stable black-box reward finetuning for diffusion models for the first time on large-scale prompt datasets with over 100K prompts.
18th WB ISM for PRDP and 3rd PRDP Scale up
2024年12月6日 · Join us for the kickoff meeting of the 18th World Bank Implementation Support Mission (WB-ISM) to the Philippine Rural Development Project (PRDP) and the 3rd WB-ISM to the PRDP Scale-Up! This is an exciting opportunity to set the stage for impactful discussions, gain first-hand insights, and align our efforts for the mission ahead.
Digital removable partial dentures - Periodontal and Implant …
2020年5月4日 · Partial removable dental prostheses (PRDPs) are a non-invasive treatment alternative for partially edentulous patients. The production of PRDP has been revolutionized by the introduction of digital techniques for the fabrication of metal and non-metal PRDP.
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