Cover Image

KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zimmermann, Eric, Wiltzer, Harley, Szeto, Justin, Alvarez-Melis, David, Mackey, Lester
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets
by: Kaczmarek, Emily, et al.
Published: (2025)

Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses
by: Kaczmarek, Emily, et al.
Published: (2025)

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
by: Balestriero, Randall, et al.
Published: (2025)

Kernel VICReg for Self-Supervised Learning in Reproducing Kernel Hilbert Space
by: Sepanj, M. Hadi, et al.
Published: (2025)

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
by: Assran, Mido, et al.
Published: (2025)

Data-centric Prediction Explanation via Kernelized Stein Discrepancy
by: Sarvmaili, Mahtab, et al.
Published: (2024)

A Label is Worth a Thousand Images in Dataset Distillation
by: Qin, Tian, et al.
Published: (2024)

Text-Conditional JEPA for Learning Semantically Rich Visual Representations
by: Huang, Chen, et al.
Published: (2026)

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
by: Liu, Yijie, et al.
Published: (2025)

Integrating chemical structures as treatments improves representations of microscopy images for morphological profiling
by: Yu, Yemin, et al.
Published: (2025)

Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
by: Brüel-Gabrielsson, Rickard, et al.
Published: (2023)

Variational Self-Supervised Learning
by: Yavuz, Mehmet Can, et al.
Published: (2025)

BRo-JEPA: Learning Modular Arithmetic in Latent Space
by: Jha, Divyansh, et al.
Published: (2026)

Self-Supervised Learning by Curvature Alignment
by: Ghojogh, Benyamin, et al.
Published: (2025)

Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers
by: Li, Xianhang, et al.
Published: (2025)

Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
by: Lowe, Scott C., et al.
Published: (2026)

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
by: Guille-Escuret, Charles, et al.
Published: (2022)

Factorized Latent Dynamics for Video JEPA: An Empirical Study of Auxiliary Objectives
by: Premi, Santosh
Published: (2026)

Self-Supervised Learning Using Nonlinear Dependence
by: Sepanj, M. Hadi, et al.
Published: (2025)

On the Generalization and Causal Explanation in Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024)

HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation
by: Li, Lihuan, et al.
Published: (2025)

Blockwise Self-Supervised Learning at Scale
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2023)

seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
by: Ghaemi, Hafez, et al.
Published: (2025)

GrapHist: Graph Self-Supervised Learning for Histopathology
by: Öğüt, Sevda, et al.
Published: (2026)

Soft Equivariance Regularization for Invariant Self-Supervised Learning
by: Lee, Joohyung, et al.
Published: (2026)

Weak Augmentation Guided Relational Self-Supervised Learning
by: Zheng, Mingkai, et al.
Published: (2022)

Seeing the Whole in the Parts in Self-Supervised Representation Learning
by: Aubret, Arthur, et al.
Published: (2025)

Semantic Concentration for Self-Supervised Dense Representations Learning
by: Wen, Peisong, et al.
Published: (2025)

Explicit Mutual Information Maximization for Self-Supervised Learning
by: Chang, Lele, et al.
Published: (2024)

Automated Measurement of Eczema Severity with Self-Supervised Learning
by: Kumar, Neelesh, et al.
Published: (2025)

Deconstructing Denoising Diffusion Models for Self-Supervised Learning
by: Chen, Xinlei, et al.
Published: (2024)

Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
by: Manna, Siladittya, et al.
Published: (2023)

Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations
by: Kuang, Yilun, et al.
Published: (2026)

Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries
by: Urbano, Alonso, et al.
Published: (2023)

Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration
by: Guo, Huijie, et al.
Published: (2025)

CLA: Latent Alignment for Online Continual Self-Supervised Learning
by: Cignoni, Giacomo, et al.
Published: (2025)

On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning
by: Cao, Yun-Hao, et al.
Published: (2024)

Variational Self-Supervised Contrastive Learning Using Beta Divergence
by: Yavuz, Mehmet Can, et al.
Published: (2023)

Pseudo-label Refinement for Improving Self-Supervised Learning Systems
by: Zia-ur-Rehman, et al.
Published: (2024)