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Traceback (most recent call last):
File "D:/all cx/temporal-ensembling-semi-supervised-master/main_temporal_ensembling.py", line 157, in
main()
File "D:/all cx/temporal-ensembling-semi-s…
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You have mentioned in www.playtika-blog.com/playtika-ai/multi-horizon-forecasting-using-temporal-fusion-transformers-a-comprehensive-overview-part-2/, that "The different heads simply take care of the…
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### Backbone
* EfficientNet
* https://github.com/zhanghang1989/ResNeSt
### Pre-trained model
* better pre-trained model than ImageNet-1.2M pre-trained model
- Weakly supervised Instagram-1G (…
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GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
https://arxiv.org/abs/2410.11841
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Hi AutoGluon team,
I'm using TabularPredictor for temporally ordered tabular data and need more flexible cross-validation options. The current CV methods and "groups" parameter don't suffice for ma…
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Hello,
This is a general question around usage.
Thanks for releasing the eks code! I am wondering if there is a way to leverage a kalman smoother on a single camera, single estimator setting. …
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While training the DiT-Block Policy models to predict sequences of H = 100 actions, this approach served as regularization during training and allowed us to use temporal ensembling to enhance stabilit…
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Hi, great work, and thanks for your sharing!
I have read your paper and got great inspiration from the papers. However, I still find something unclear:
1. The history frames. You mentioned that …
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Hi,
I am trying to implement your code in PyTorch.
I believe I implemented VAT loss accurately. But, I cannot get the same performance probably because I used a different ConvNet. When I try to…
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### Issue
A PDELibrary with no spatial derivatives is effectively just a CustomLibrary. The situation is only under test in the pytest fixture [`data_ode_library()`](https://github.com/dynamicslab/p…