taskgrouping
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tstandley
Code for Which Tasks Should Be Learned Together in Multi-task Learning?
Trying to run the command python3 train_taskonomy.py -d=/taskonomy-sample-model-1-master/ -a=xception_taskonomy_new -j 4 -b 96 -lr=.1 --fp16 -sbn --tasks=dnerac -r but found 0 training instances. Kindly help me out
Thanks for such a great paper. I cannot reproduce the relative performance gains shown in the tables of your paper with "results_xxx.txt" files in https://github.com/tstandley/taskgrouping/tree/master/network_selection. I wonder whether it is...
Hi could you please share the script using which you visualised the error maps in the paper? Thanks in advance!
Dear authors, Thanks for your great work! I am trying to replicate your results but encounter the problem that the training procedure encounters unexpected exits due to the following lines...
When I tried to train with the following command ``` python3 train_taskonomy.py -d=/taskonomy/ -a=xception_taskonomy_new -j 4 -b 96 -lr=.1 --fp16 -sbn --tasks=sdnerac -r ``` I got the following error: ```...
Hi, and thanks for the great paper! Will you be releasing all the 31 models for all the possible combinations of the 5 tasks? It'll be extremely useful for my...
Dear author, where are the codes to compute high-order approximation and search for the best groups under a given inference budget? Is it also released in the repository? If not,...
In legends of figure 2, 3, 4, 5, and 6, ESA refers to the technology of early stopping approximation, and HOA refers to the technology of higher order approximation, so...
Hi, in the taskonomy_loader.py, I see different pre-processing operations are performed according to different tasks, i.e., from Line 171 to Line 208. Can you explain a bit about the underlying...
