activity
20182026
most citedPlanckian Jitter: countering the color-crippling effects of color jitter on self-supervised training

7 citations · 17 across the 24 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models

Fabio Arnez, Alexandra Gomez-Villa

Joint-Embedding Predictive Architectures (JEPAs) are the dominant design for latent world models, yet they are usually justified by empirical performance rather than a normative pr…

cs.LG2026

Online Continual Learning with Dynamic Label Hierarchies

Xinrui Wang, Shao-Yuan Li, Bartłomiej Twardowski +2

Online Continual Learning (OCL) aims to learn from endless non\text{-}stationary data streams, yet most existing methods assume a flat label space and overlook the hierarchical org…

cs.LG2025

CLA: Latent Alignment for Online Continual Self-Supervised Learning

Giacomo Cignoni, Andrea Cossu, Alexandra Gomez-Villa +2

Self-supervised learning (SSL) is able to build latent representations that generalize well to unseen data. However, only a few SSL techniques exist for the online CL setting, wher…

cs.LG2025

Replay-free Online Continual Learning with Self-Supervised MultiPatches

Giacomo Cignoni, Andrea Cossu, Alex Gomez-Villa +2

Online Continual Learning (OCL) methods train a model on a non-stationary data stream where only a few examples are available at a time, often leveraging replay strategies. However…

cs.LG2023

Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning

Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang +1

Continuous unsupervised representation learning (CURL) research has greatly benefited from improvements in self-supervised learning (SSL) techniques. As a result, existing CURL met…