Conditional Representation Learning for Customized Tasks
NeurIPSSpotlight2025
TL;DR
Conventional representation learning methods learn a universal representation that primarily captures dominant semantics, which may not always align with customized downstream tasks…
Opening excerpt from the authors’ abstract. source
Read the paper
Topics
representation learning
← All NeurIPS 2025 Spotlight papers · Browse the whole archive