Yahoo Web Search

Search results

1. • • So, what is the Block-Recurrent Transformer? It is a novel Transformer model that leverages the recurrence mechanism of LSTMs to achieve significant perplexity improvements in language modeling tasks over long-range sequences.
     towardsdatascience.com › block-recurrent-transformer-lstm-and-transformer-combined-ec3e64af971a

     Block-Recurrent Transformer: LSTM and Transformer Combined

2. arxiv.org › abs › 2203[2203.07852] Block-Recurrent Transformers - arXiv.org

   arxiv.org › abs › 2203

   • Cached

   Mar 11, 2022 · We introduce the Block-Recurrent Transformer, which applies a transformer layer in a recurrent fashion along a sequence, and has linear complexity with respect to sequence length.

3. People also ask

   What is block recurrent transformer?

   • We introduce the Block-Recurrent Transformer, which applies a transformer layer in a recurrent fashion along a sequence, and has linear complexity with respect to sequence length.

   [2203.07852] Block-Recurrent Transformers - arXiv.org

   arxiv.org/abs/2203.07852

   See all results for this question

   What is a block-recurrent transformer layer?

   • A Block-Recurrent Transformer layer extends the sliding-window attention mechanism by adding a set of recurrent states, which are updated at the end of each block of W tokens. Our design for the recurrent cell is illustrated in Figure 1, which depicts the operations done within a single block of the input sequence.

   Block-Recurrent Transformers - arXiv.org

   arxiv.org/pdf/2203.07852v2.pdf

   See all results for this question

   Can a block recurrent transformer XL be used as a baseline?

   • The model was tested on 3 datasets: PG19, arXiv, and Github. All of them contain very long sentences. The authors tested the Block-Recurrent Transformer and used Transformer XL as a baseline. The Block-Recurrent Transformer was configured in two modes: Single Recurrent Mode: The authors used a 12-layer Transformer with recurrence only on layer 10.

   Block-Recurrent Transformer: LSTM and Transformer Combined

   towardsdatascience.com/block-recurrent-transformer-lstm-and-transformer-combined-ec3e64af971a

   See all results for this question

   Can a block-recurrent transformer remember information over a long distance?

   • Processing the sequence in blocks also helps propagate information and gradients over longer distances, because the number of recurrent steps (and thus the number of times that the forget gate is applied) is orders of magnitude smaller. We show that the Block-Recurrent Transformer can remember information over distances of 60k tokens or more.

   Block-Recurrent Transformers - arXiv.org

   arxiv.org/pdf/2203.07852v2.pdf

   See all results for this question

4. towardsdatascience.com › block-recurrentBlock-Recurrent Transformer: LSTM and Transformer Combined

   towardsdatascience.com › block-recurrent

   • Cached

   Jul 6, 2022 · Block-Recurrent Transformer is a novel Transformer model that leverages the recurrence mechanism of LSTMs to achieve significant perplexity improvements in language modeling tasks over long-range sequences.

5. Images

   • 
   • 
   • 

   View all

6. research.google › pubs › block-recurrent-transformersBlock-Recurrent Transformers - Google Research

   research.google › pubs › block-recurrent-transformers

   • Cached

   We introduce the Block-Recurrent Transformer, which applies a transformer layer in a recurrent fashion along a sequence, and has linear complexity with respect to sequence length.

7. arxiv.org › pdf › 2203Block-Recurrent Transformers - arXiv.org

   arxiv.org › pdf › 2203

   We introduce the Block-Recurrent Transformer, which applies a transformer layer in a recurrent fashion along a sequence, and has linear complexity with respect to sequence length.

8. paperswithcode.com › block-recurrent-transformersBlock-Recurrent Transformers | Papers With Code

   paperswithcode.com › block-recurrent-transformers

   • Cached

   Mar 11, 2022 · We introduce the Block-Recurrent Transformer, which applies a transformer layer in a recurrent fashion along a sequence, and has linear complexity with respect to sequence length.

   • Author: Delesley Hutchins

9. Videos

   • 

     9:11

     youtube.com

     Transformers, explained: Understand the model behind GPT, BERT, and T5

     Aug 18, 2021

     904K Views

   • 

     6:28

     youtube.com

     Transformers vs Recurrent Neural Networks (RNN)!

     Oct 22, 2020

     21.3K Views

   • 

     22:02

     youtube.com

     Block-Recurrent Transformers

     Apr 14, 2022

     323 Views

   View all

10. huggingface.co › papers › 2203Paper page - Block-Recurrent Transformers - Hugging Face

    huggingface.co › papers › 2203

    • Cached

    We introduce the Block-Recurrent Transformer, which applies a transformer layer in a recurrent fashion along a sequence, and has linear complexity with respect to sequence length. Our recurrent cell operates on blocks of tokens rather than single tokens during training, and leverages parallel computation within a block in order to make ...

11. openreview.net › pdfBlock-Recurrent Transformers - OpenReview

    openreview.net › pdf

    We introduce the Block-Recurrent Transformer, which applies a transformer layer in a recurrent fashion along a sequence, and has linear complexity with respect to sequence length. Our recurrent cell operates on blocks of tokens rather than single tokens during training, and leverages parallel computation within a block in order