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"Transformers meet Stochastic Block Models: Attention with Data-Adaptive ..."

Sungjun Cho et al. (2022)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-01-08

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  - electronic edition @ nips.cc (open access)
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  dblp key:
  - conf/nips/ChoMKLLH22
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  persistent URL:
  - https://dblp.org/rec/conf/nips/ChoMKLLH22
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong:
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. NeurIPS 2022

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