linear-transformers.com valuation and analysis
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| Title | Linear |
| Description | Transformers are RNNs: Fast Autoregressive Transformers with Linear Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos 1,2 Apoorv Vyas 1,2 Nikolaos Pappas 3 François Fleuret |
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| WebSite | |
| Host IP | 67.205.187.158 |
| Location | United States |
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linear-transformers.com Valuation
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US$1,829,894
Last updated: 2023-05-12 13:08:12
linear-transformers.com has Semrush global rank of 5,784,108. linear-transformers.com has an estimated worth of US$ 1,829,894, based on its estimated Ads revenue. linear-transformers.com receives approximately 211,142 unique visitors each day. Its web server is located in United States, with IP address 67.205.187.158. According to SiteAdvisor, linear-transformers.com is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$1,829,894 |
| Daily Ads Revenue | US$1,690 |
| Monthly Ads Revenue | US$50,674 |
| Yearly Ads Revenue | US$608,088 |
| Daily Unique Visitors | 14,077 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| linear-transformers.com. 2933 | A | linear-transformers.com. 2933 | IP: 67.205.187.158 |
| linear-transformers.com. 1800 | NS | linear-transformers.com. 1800 | NS Record: ns1.digitalocean.com. |
| linear-transformers.com. 1800 | NS | linear-transformers.com. 1800 | NS Record: ns2.digitalocean.com. |
| linear-transformers.com. 1800 | NS | linear-transformers.com. 1800 | NS Record: ns3.digitalocean.com. |
HtmlToTextCheckTime:2023-05-12 13:08:12
| Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos 1,2 Apoorv Vyas 1,2 Nikolaos Pappas 3 François Fleuret 1,2 1 Idiap Research Institute 2 École Polytechnique Fédérale de Lausanne 3 University of Washington ICML 2020 Paper Colab Code Docs Video Slides Transformers achieve remarkable performance in several tasks but due to their quadratic complexity, with respect to the input’s length, they are prohibitively slow for very long sequences. To address this limitation, we express the self-attention as a linear dot-product of kernel feature maps and make use of the associativity property of matrix products to reduce the complexity from $\bigO{N^2}$ to $\bigO{N}$, where $N$ is the sequence length. We show that this formulation permits an iterative implementation that dramatically accelerates autoregressive transformers and reveals their relationship to recurrent neural networks. Our linear transformers achieve similar performance to vanilla |
HTTP Headers
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linear-transformers.com Whois Information
Domain Name: LINEAR-TRANSFORMERS.COM Registry Domain ID: 2536715064_DOMAIN_COM-VRSN Registrar WHOIS Server: whois.papaki.gr Registrar URL: http://www.papaki.com Updated Date: 2021-06-07T15:53:21Z Creation Date: 2020-06-11T20:52:47Z Registry Expiry Date: 2022-06-11T20:52:47Z Registrar: Enartia Single Member S.A. Registrar IANA ID: 1727 Registrar Abuse Contact Email: abuse@papaki.gr Registrar Abuse Contact Phone: +30 211-800-2275 Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited Name Server: NS1.DIGITALOCEAN.COM Name Server: NS2.DIGITALOCEAN.COM Name Server: NS3.DIGITALOCEAN.COM DNSSEC: unsigned >>> Last update of whois database: 2021-12-18T07:28:54Z <<< |