Comments (2)
Yes. In this case, other loss variations like GAI will be more suitable. GAI precomputes the label statistics.
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Thanks for your reply!
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Related Issues (20)
- BMCLossMD loss Multi-dimensional HOT 8
- can we implement is code in tensorflow? HOT 1
- Bad performance on train set HOT 1
- The formula derivation is a little unclear. HOT 2
- In my task, Balance MSE loss decreases but MES loss increases. HOT 5
- Restore the loss scale? HOT 1
- About the "bmc_loss_md" HOT 3
- about GAILoss HOT 3
- Is BMC loss OK when batchsize = 1? HOT 1
- Should one scale multi-dimensional targets when training with BMCLossMD? HOT 1
- Negative loss while using BNI implementation option HOT 1
- When using the Multi-dimensional Balanced MSE, there is a memory error HOT 4
- Don't understand the code. HOT 6
- Balanced MAE? HOT 4
- Does batch size have a huge impact for result? HOT 3
- reconstruction loss HOT 2
- Are there some tricks to use BalancedMse in MultiDimension data? HOT 5
- err HOT 3
- The shape of logits HOT 1
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