Domain-Adaptation-Regression
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thuml
Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
Hi. This is great work. I was wondering if you could also provide the code to run the baselines like DAN and DANN for regression. What changes did you make?
can you share the dataset of the dsprites again? the link is invalid. thank you!
作者你好，我在使用该代码进行图像回归任务解决域适应问题时遇到一个bug；就是代码训练二十多个epoch后就开始出现提醒： `Intel MKL ERROR: Parameter 4 was incorrect on entry to SLASCL.` 然后再几个epoch后就报错： `Traceback (most recent call last): File "train_rsd.py", line 134, in rsd_loss = rsd_f(feature_s, feature_t) File "/home/digisky/anaconda3/envs/torch1.2/lib/python3.6/site-packages/torch/nn/modules/module.py", line...
When i use RSD loss, the following error will occur: Intel MKL ERROR: Parameter 4 was incorrect on entry to SLASCL. Traceback (most recent call last): File "train_SVD.py", line 274,...
Thanks for the interesting work. I was able to reproduce your results on the two datasets (Dsprites and MPI3D). I would like to know if the implementation details for the...
Thank you very much for the open source provided, and this is also a very good work! However, I have the following questions, I hope the author can answer them...
error
In the training, I got this wrong as follows. tensor([[nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan], [nan, nan, nan, ..., nan, nan, nan],...
The following is quoted from the paper: > First, we test the robustness of experimental performances to the change of feature scale. Specifically, we use L2 regularization to change the...
