:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yavuz, Mehmet Can, Yanikoglu, Berrin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2504.04318
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Evaluating the Efficiency of Latent Spaces via the Coupling-Matrix
by: Yavuz, Mehmet Can, et al.
Published: (2025)

Multivariate Variational Autoencoder
by: Yavuz, Mehmet Can
Published: (2025)

Variational Supervised Contrastive Learning
by: Wang, Ziwen, et al.
Published: (2025)

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning
by: Bai, Chenjia, et al.
Published: (2020)

Self-Supervised Learning by Curvature Alignment
by: Ghojogh, Benyamin, 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)

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)

Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting Operation
by: Yavuz, Mehmet Can, et al.
Published: (2024)

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)

Automated Measurement of Eczema Severity with Self-Supervised Learning
by: Kumar, Neelesh, 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)

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

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)

Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling
by: Lyu, Zongyao, et al.
Published: (2024)

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

KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
by: Zimmermann, Eric, 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)

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

Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
by: Wang, Jiayun, et al.
Published: (2024)

Augmentations vs Algorithms: What Works in Self-Supervised Learning
by: Morningstar, Warren, et al.
Published: (2024)

Can Generative Models Improve Self-Supervised Representation Learning?
by: Ayromlou, Sana, et al.
Published: (2024)

Dealing with Annotator Disagreement in Hate Speech Classification
by: Dehghan, Somaiyeh, et al.
Published: (2025)

ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
by: Banerjee, Soumya, et al.
Published: (2025)

Self-Supervised Siamese Autoencoders
by: Baier, Friederike, et al.
Published: (2023)

Subject Invariant Contrastive Learning for Human Activity Recognition
by: Yarici, Yavuz, et al.
Published: (2025)

SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
by: Khowaja, Sunder Ali, et al.
Published: (2023)

Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training
by: Xiao, Huaiyuan, et al.
Published: (2025)

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

Selective Masking based Self-Supervised Learning for Image Semantic Segmentation
by: Wang, Yuemin, et al.
Published: (2025)

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

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models
by: Saporta, Antoine, et al.
Published: (2026)

Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
by: Lee, Junha, et al.
Published: (2024)