Methods › General › Stochastic Optimization › DFA

Direct Feedback Alignment

DFA

55 papers tagged archive 2025-07-28

Introduced by Arild Nøkland in Direct Feedback Alignment Provides Learning in Deep Neural Networks

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

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 55, 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.

Tasks archive 2025-07-28

20 shown of 59 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Reinforcement Learning3
reinforcement-learning3
Diagnostic2
Edge-computing2
Quantization2
Transfer Learning2
Action Detection1
Active Learning1
Activity Recognition1
Attribute1
Chatbot1
Classification1
Code Generation1
Computational Efficiency1
Decision Making1
Decoder1
Deep Learning1
Denoising1
Depth Estimation1
Descriptive1

Usage over time archive 2025-07-28

Papers per year tagged with DFA: 2016 to 2025, peak 12 12 0 2016: 1 paper 2016 2017: 2 papers 2017 2018: 2 papers 2018 2019: 3 papers 2019 2020: 8 papers 2020 2021: 5 papers 2021 2022: 12 papers 2022 2023: 5 papers 2023 2024: 11 papers 2024 2025: 6 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (55 dated). Bars are counts, not a trend claim.

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

Stochastic Optimization

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