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20212026
most citedVICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

287 citations · 599 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026★ 1 cited

Hierarchical Planning with Latent World Models

Wancong Zhang, Basile Terver, Artem Zholus +8

World models are a promising path to zero-shot embodied control through planning. However, existing world model planners struggle on long-horizon, multi-stage tasks: prediction err…

cs.LG2024★ 37 cited

An Introduction to Vision-Language Modeling

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay +38

Following the recent popularity of Large Language Models (LLMs), several attempts have been made to extend them to the visual domain. From having a visual assistant that could guid…

cs.LG2023★ 164 cited

A Cookbook of Self-Supervised Learning

Randall Balestriero, Mark Ibrahim, Vlad Sobal +16

Self-supervised learning, dubbed the dark matter of intelligence, is a promising path to advance machine learning. Yet, much like cooking, training SSL methods is a delicate art wi…

cs.LG2022★ 7 cited

Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning

Florian Bordes, Randall Balestriero, Quentin Garrido +2

One unexpected technique that emerged in recent years consists in training a Deep Network (DN) with a Self-Supervised Learning (SSL) method, and using this network on downstream ta…

cs.LG2022★ 24 cited

On the duality between contrastive and non-contrastive self-supervised learning

Quentin Garrido, Yubei Chen, Adrien Bardes +2

Recent approaches in self-supervised learning of image representations can be categorized into different families of methods and, in particular, can be divided into contrastive and…