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## Title & Topic
- sequence prediction 분야에서의 transduction, transductive learning 개념과 방법론을 알아본다
- transducer로서의 RNN 개념을 파악한다
- transduction에서 파생된 트랜스포머 네트워크 개념을 이해한다
## Upload schedule
- [x]…
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Hi, do you continue to maintain this project? Can we accomplish the sequence_layer together?
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Hello,
I was eager to experiment with TPUs but was facing issues with CTC loss not lowered yet, so is this in your agenda soon?
CTC is used very widely in OCR / ASR / many related sequence transdu…
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In this issue you can either:
- Add papers that you think are interesting to read and discuss (please stick to the format).
- **Vote**: should be done using 👍 on comments
Example: [Voting Paper…
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http://fyubang.com/2019/01/27/transfomer/
今年的NLP界被BERT整的明明白白,其中的基本结构 Transformer 一定要了解一下。 Abstract:一般来说,重要的sequence transduction模型都是基于包含encoder,decoder的复杂的rnn和cnn的。最好的模型是通过一个attention机制来连接encoder,d…
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# jargon 리스트
- [x] transduction model
- [x] constituency parsing
- [x] sinusoids
- [x] Positional Encodings
- [x] BLEU
- [x] WMT
- [x] factorization tricks
- [x] desiderata
- [x] transform…
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# Requirements
- [ ] Read about input embeddings technique (byte-pair encoding) used by Google's team on "Attention Is All You Need" paper.
- [ ] Design the input embeddings pipeline for **wmt 2014 e…
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http://8.129.175.102/lfd2022fall-poster-session/18.html
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From: https://github.com/geneontology/go-ontology/issues/21605
From @genegodbold
The annotations for certain GO terms have both parasite and host sequences attached to them, when it seems as if t…
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**Abstract:**
> The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best performing models also conn…