Methods › General › Ensembling › MoE

Mixture of Experts

MoE

366 papers tagged archive 2025-07-28

Introduced by Neel Kanwal et al. in Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs

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 366, 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 254 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
Mixture-of-Experts312
GPU38
Language Modelling34
Computational Efficiency30
Language Modeling29
Large Language Model16
Quantization14
CPU13
Multi-Task Learning13
Image Classification12
parameter-efficient fine-tuning12
Scheduling11
MMLU10
Question Answering10
Decoder9
Diversity9
image-classification9
Continual Learning7
Math7
Retrieval7

Usage over time archive 2025-07-28

Papers per year tagged with MoE: 2022 to 2025, peak 206 206 0 2022: 1 paper 2022 2023: 0 papers 2023 2024: 206 papers 2024 2025: 159 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (366 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

Ensembling

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