DenseNAS
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JaminFong
Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)
Hi, Thanks for open-sourcing this work. I was wondering how to search for a DenseNAS model on CIFAR10 based on ResNet. I have resolved the data loading issue. But for...
Hi！ Thanks for sharing your great work! I have some questions to ask you. How to execute your codes? What is the order of executing your codes? If I use...
感謝您們釋出這麼棒的研究工作! 在使用你們模組時遇到困難, 想請問, Search區塊裡: 1.Prepare the image set for search which contains 100 classes of the original ImageNet dataset. And 20% images are used as the validation set and 80%...
您好，非常赞赏你们的工作，有两个地方不太理解，想请教一下。 1 论文中讲到需要有2 个更新的参数，一个是在head layer 里用于选择从前面哪个通道的block中接收输入，还有一个是 stack layer里操作的选择。但是在代码里，却有3个参数，分别是 betas, head_alphas, stack_alphas ，多出来了一个是有关本block输出可以去向哪些block的，这样设置的作用是什么？ 2 数据集被分成了train和valid两个部分，在weights更新的步骤里用的是train数据，在arch更新的步骤里用的是valid数据，但是在infer时用的还是valid数据，这部分数据不应该已经被网络学习过了吗？是不是应该用其他的数据再去做infer？ 这是我想不明白的2个问题，想请您帮忙解答一下，哪里理解地不对请您指正。
hello: do you use gumbelsoftmax? i wonder why don't you add random noise in gumbelsoftmax and the temperature doesn't change in whole training process? thanks
