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## 論文リンク
https://arxiv.org/abs/1803.11175
## 公開日（yyyy/mm/dd）
2018/03/29
## 概要
sentence level での embedding として、典型的なベンチマークである Deep Averaging Network (DAN) と Transformer Encoder を使ったモデルを TensorF…
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Add descriptions to the Parameters Appendix for Deep Learning parameters:
pretrained_autoencoder
overwrite_with_best_model
hidden
epochs
train_samples_per_iteration
target_ratio_comm_to_comp
…
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Hi folks,
I'm trying to replicate your linear probe evaluation results. I can only get your pre-trained model to score 77% (with the last layer) or 80.8% (with the last 4 layers) on a linear probe…
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What is the best way to implement model ensembling per time step in Tensorflow? Models are ensembled by averaging the output probabilities at each decoding step. Is there a way to do this using `raw_r…
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Topics could include:
- Bayesian model selection
- Bayesian model averaging
- Stepwise regression vs likelihood ratio tests
- Diagnostics for glms and other models where the residuals are expecte…
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Implement prior and posterior odds, and Bayesian model averaging.
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Working on the C/CD implementation, a few issues have come up. I've introduced the new N and E grids, have computed dx and dy for those grids, and am working on the averaging "u2t/t2u" methods to go…
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I believe the DB Console Storage dashboard is presenting storage metrics incorrectly. It appears to downsample using averaging (maybe a consequence of these being modeled as gauges instead of counters…
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- [x] Pull in immunity layer. This reflects outbreaks that happened _prior_ to the current season.
- [ ] Separately, create a layer for whether there has been an outbreak in the region _within_ the…
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앙상블 모델을 만드는 방법은 여러가지가 있는데, 대표적인 방법은 bagging이나 boosting입니다.
딥러닝 모델에서는 특이하게도 Weight Averaging이라는게 존재하는데, 해당 방법을 통해 Sota를 찍은 논문입니다.
모델을 만들 때에는 하이퍼 파라미터에 따라 다양한 버전들의 모델들이 만들어 지게 되는데, 특정 데이터셋에 대해서 Sota…