tangshixiang / grad-cl Goto Github PK
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License: MIT License
Kindly provide link to the supplementary material which was briefly mentioned in the main paper
Hi,
Thank you for this wonderful work!
I noticed the current version of code doesn't have implementation on the class-incremental setting . Could you please provide more details about how the classifier head changes when training? Dose "In order to break the task boundary, we first stack all episodic memories as one replay buffer" in the paper mean "stack all the episodic memory before the first stage of training" or "stack a single task episodic memory after every stage of incremental training" ?
Thank you!
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