📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection (2022)

First Author: Keshtmand N

Attributed to: Turing AI Fellowship: Interactive Annotations in AI funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2211.03183

Publication URI: https://arxiv.org/abs/2211.03183

Type: Preprint