S-Space: Seoul National University
metadata only
PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Transfer Learning and Domain Adaptation in Telecommunications#271050
- Fusion Training for Mathematical Generalization in Large Language Models#441828
- Automated Gradient-Driven Parameter Sharing for Low-Resource Multilingual Speech-to-Text Translation#1014644
- From Parameters to Behaviors: A Survey of Model Fusion for Large Language Models#1014145
- UniSD: Towards a Unified Self-Distillation Framework for Large Language Models#168321
Record · ID 626784
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive