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Targeted Dropout

2 papers tagged archive 2025-07-28

Introduced by Aidan N. Gomez et al. in Learning Sparse Networks Using Targeted Dropout

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries only a placeholder description for this method.

Papers archive 2025-07-28

2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

• Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity
  4 Aug 2021 · 0 repositories · arXiv:2108.02297
• Learning Sparse Networks Using Targeted Dropout
  31 May 2019 · 2 repositories · arXiv:1905.13678
  Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)

Tasks archive 2025-07-28

4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Usage over time archive 2025-07-28

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

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