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The paper states the following: "While the nonautoregressive model throughput is bounded to ∼ 2.8 samples/second for batch sizes bigger than 64, the autoregressive model throughput is linear in batch …
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Recently there have been papers about [non-autoregressive text generation](https://arxiv.org/abs/2102.08220), in which models generate many tokens simultaneously instead of only one. Not only does thi…
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## 一言でいうと
翻訳文の単語を順番にではなく並列して出力できる機械翻訳モデル。
従来のEncoder-Decoderモデルと比べると計算スピードが大きく向上している。
スピードを向上させつつ翻訳の質を低下させないようにしており、Ro-En翻訳ではSOTA
![image](https://user-images.githubusercontent.com/9605058/32624…
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Some series might benefit from additional global endogenous terms, such as time-based indicators (year/month/weekday/holiday) or trend/spline functionality. These are "predictors" that are known at al…
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While using cache (`past_key_values`) during speculative decoding or even autoregressive decoding, the resulting generated tokens might be somewhat weird and non-sense. Because of this behavior, specu…
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您好,我在阅读论文的过程中,有一个地方不理解,想请您指导一下。在论文中2.3中“Non-Autoregressive Combination Decoding“这一小节中有一句这样的描述”For those extreme records that have only one argument in the combinations, all predicted entities are aggr…
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I am looking into a modification of a regular masked autoregressive flow where the base distribution is an N-dimensional uniform and the first variable does not get transformed, while the rest of the …
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I am getting a "ValueError: Non-stationary starting autoregressive parameters found with `enforce_stationarity` set to True." error when doing the feature extraction step(get_feature_SARIMA_residuals …
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### Scenario trees/lattice reading
Scenarios for multistage stochastic programs
https://www.karlin.mff.cuni.cz/~kopa/papers/vanc-ed.pdf
Overview of scenario tree generation methods, applied in …