T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning

NeurIPSSpotlight2025

Authors
Julie Mordacq, David Loiseaux, Vicky Kalogeiton, Steve Oudot
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Self-supervised learning (SSL) has emerged as a powerful paradigm for learning representations without labeled data, often by enforcing invariance to input transformations such as rotations or blurrin…

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Topics

self-supervised

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