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hi! nice work and finally non-autoregressive tts with no explicit durations as labels. Do you have any plans to release pytorch implementation?
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I can't seem to understand if I'm mastering well enough the ARIMA model from statsmodels. It seems that, although I'm differentiating, and the series does need differentiation, the ARIMA model itself …
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Why would these presets break on one card and not another?
'rough': {'num_autoregressive_samples': 4, 'diffusion_iterations': 12},
'rough': {'num_autoregressive_samples': 12, 'diffusion_iteratio…
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**Description:**
Predicting future traffic flow, which will aid in traffic management and planning. The goal is to build a model that can accurately forecast traffic flow based on historical data a…
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## 一言でいうと
Tokenを順次生成していく自己回帰型の翻訳ではなく、潜在表現から同時にサンプリングして文生成を行う研究。精度は犠牲になるが(BLEU -2.0)、圧倒的に高速(7.8~12.5倍)というメリットがある。Transformerベースのモデルで潜在表現を作成するが、生成文長も予測し生成を行っている。
![image](https://user-images.githu…
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## Abstract
- present the `Insertion Transformer`, an iterative and partially autoregressive model for sequence generation based on insertion operations
- can generate with an arbitrary ordering
…
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From Hiro:
170592 is completely wrong (negative all the way with autoregression, huge error bar without autoregression). 176462 is right but around the end of the shot, the non autoregressive mode…
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Currently, in the TimeGrad model, experimental results reveal suboptimal adherence to control inputs when using covariate conditioning. This issue stems from the dominance of previous sequences within…
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## 简介
non-autogression decoding. 用iterative的方式不断refine已有的翻译结果。第一轮是完全NAT,然后再次基础上,选择confidence差的N个词,mask掉,去对mask的内容进行refine,迭代X轮结束。对mask的恢复过程类似BERT。整篇文章读起来很舒服,听起来也合理。后面实验部分也很饱满。
## 论文信息
* Author: F…
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## Why
Machine Learning 輪講は最新の技術や論文を追うことで、エンジニアが「技術で解決できること」のレベルをあげていくことを目的にした会です。
prev. #19
## What
話したいことがある人はここにコメントしましょう!
面白いものを見つけた時点でとりあえず話すという宣言だけでもしましょう!