Chinese contentClaude Opus 5.5 一次生成论文解读视频,讲清 JEM 原理
有人用 Claude Opus 5.5 一口气生成了 JEM 论文的讲解视频,看完真能搞懂原理,效果挺让人意外的。
有人用 Claude Opus 5.5 一口气生成了 JEM 论文的讲解视频,看完真能搞懂原理,效果挺让人意外的。
A 12x reduction in training data to beat a frontier SSL checkpoint suggests the data appetite of self-supervised pretraining is not fixed, which matters for teams with limited compute budgets. Researchers doing vision pretraining or fine-tuning DINO-family backbones should review the JEM method and regularization design for reuse in their own pipelines. Compared with DINOv3, it trades scale for a simpler, more principled objective.
这篇论文复现JEM,对比PC和SGLD采样器,结果在CIFAR-10上几乎没差别,AUROC差小于0.007,还暴露了训练发散问题。搞能量模型的人可以看看。