Approximate Domain Unlearning for Vision-Language Models

NeurIPSSpotlight2025

Authors
Kodai Kawamura, Yuta Goto, Rintaro Yanagi, Hirokatsu Kataoka, Go Irie
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Pre-trained Vision-Language Models (VLMs) exhibit strong generalization capabilities, enabling them to recognize a wide range of objects across diverse domains without additional training…

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Topics

vision-language generalization language model

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