Chunpai
Chunpai
The code in multi-label classification is not aligned with what you mentioned in your paper. The bundle entropy method is buggy, and code is not runnable either despite I revise...
Hello Zhiting, It seems your implementation is quite different from the formula(5) in the paper. It is very confused. Could you explain more details on the log_distribution function. Thanks a...
This issue occurs when I run the code first time. Traceback (most recent call last): File "src/torch_core/vi.py", line 364, in train_logp = get_log_marginal_density(train_loader) File "src/torch_core/vi.py", line 199, in get_log_marginal_density marginal...
Thank you for your great work. I am not sure if I understand SSE-SE correctly. Based on your code, it seems you randomly replace the items in a sequence with...
Hello @seewoo5, Thanks for sharing your implementations. I checked your code on DKT and DKVMN. It seems your models predict only one target_id for a single sequence. Am I right?...
I am not familiar with Theano. But it seems in the train_model function, it outputs cost_p, but in the sgd_updates_adadelta function, it optimizes over dropout_cost_p ? ? I am confused...
Hello, could you please provide the original dataset before your preprocessing ? It seems it does not match the dataset in the following link https://linqs.soe.ucsc.edu/data. It seems your train/val/test splits...
Hi Xinyi, Thank you for your public code on this implementation. I checked your code for processing the ASSISTments dataset, it seems you use the skill-id not question id for...