Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cho, Sungjun | ko |
| dc.contributor.author | Min, Seonwoo | ko |
| dc.contributor.author | Kim, Jinwoo | ko |
| dc.contributor.author | Lee, Moontae | ko |
| dc.contributor.author | Lee, Honglak | ko |
| dc.contributor.author | Hong, Seunghoon | ko |
| dc.date.accessioned | 2022-11-23T02:01:59Z | - |
| dc.date.available | 2022-11-23T02:01:59Z | - |
| dc.date.created | 2022-11-02 | - |
| dc.date.created | 2022-11-02 | - |
| dc.date.created | 2022-11-02 | - |
| dc.date.issued | 2022-11-29 | - |
| dc.identifier.citation | 36th Conference on Neural Information Processing Systems, NeurIPS 2022 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/300571 | - |
| dc.language | English | - |
| dc.publisher | Neural information processing systems foundation | - |
| dc.title | Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 36th Conference on Neural Information Processing Systems, NeurIPS 2022 | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | The New Orleans Convention Center | - |
| dc.contributor.localauthor | Hong, Seunghoon | - |
| dc.contributor.nonIdAuthor | Cho, Sungjun | - |
| dc.contributor.nonIdAuthor | Min, Seonwoo | - |
| dc.contributor.nonIdAuthor | Kim, Jinwoo | - |
| dc.contributor.nonIdAuthor | Lee, Moontae | - |
| dc.contributor.nonIdAuthor | Lee, Honglak | - |
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