Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks
Summary: Pool of Experts (PoE) enables train-free construction of models by extracting and composing expert modules from a pretrained network via distillation. Train-free consolidation fuses needed experts for a query, yielding compact, accurate models far faster than training. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Hakbin Kim
- 2. Dong-Wan Choi
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 696 | BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics | 2020 | VLDB | 0.00018048935 |
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