Image de couverture de livre

On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cao, Yun-Hao, Wu, Jianxin
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Can Generative Models Improve Self-Supervised Representation Learning?
par: Ayromlou, Sana, et autres
Publié: (2024)

Augmentations vs Algorithms: What Works in Self-Supervised Learning
par: Morningstar, Warren, et autres
Publié: (2024)

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning
par: Ghofrani, Fatemeh, et autres
Publié: (2025)

Pseudo-label Refinement for Improving Self-Supervised Learning Systems
par: Zia-ur-Rehman, et autres
Publié: (2024)

Deconstructing Denoising Diffusion Models for Self-Supervised Learning
par: Chen, Xinlei, et autres
Publié: (2024)

Variational Self-Supervised Learning
par: Yavuz, Mehmet Can, et autres
Publié: (2025)

SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
par: Khowaja, Sunder Ali, et autres
Publié: (2023)

Image Clustering Algorithm Based on Self-Supervised Pretrained Models and Latent Feature Distribution Optimization
par: Zhu, Qiuyu, et autres
Publié: (2024)

Self-Supervised Learning by Curvature Alignment
par: Ghojogh, Benyamin, et autres
Publié: (2025)

In-Context Symmetries: Self-Supervised Learning through Contextual World Models
par: Gupta, Sharut, et autres
Publié: (2024)

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models
par: Saporta, Antoine, et autres
Publié: (2026)

Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
par: Liang, Jiachen, et autres
Publié: (2024)

On Pretraining Data Diversity for Self-Supervised Learning
par: Hammoud, Hasan Abed Al Kader, et autres
Publié: (2024)

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
par: Lowe, Scott C., et autres
Publié: (2026)

On the Generalization and Causal Explanation in Self-Supervised Learning
par: Qiang, Wenwen, et autres
Publié: (2024)

Self-Supervised Learning Using Nonlinear Dependence
par: Sepanj, M. Hadi, et autres
Publié: (2025)

You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
par: Moutakanni, Théo, et autres
Publié: (2024)

IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data
par: Nguyen, Dang Nha, et autres
Publié: (2025)

Addressing Data Scarcity in 3D Trauma Detection through Self-Supervised and Semi-Supervised Learning with Vertex Relative Position Encoding
par: Chaudhary, Shivam, et autres
Publié: (2026)

DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
par: Cui, Wei, et autres
Publié: (2025)

Multi-instance Learning as Downstream Task of Self-Supervised Learning-based Pre-trained Model
par: Matsuishi, Koki, et autres
Publié: (2025)

Temporal Embeddings: Scalable Self-Supervised Temporal Representation Learning from Spatiotemporal Data for Multimodal Computer Vision
par: Cao, Yi, et autres
Publié: (2023)

Explicit Mutual Information Maximization for Self-Supervised Learning
par: Chang, Lele, et autres
Publié: (2024)

GrapHist: Graph Self-Supervised Learning for Histopathology
par: Öğüt, Sevda, et autres
Publié: (2026)

Soft Equivariance Regularization for Invariant Self-Supervised Learning
par: Lee, Joohyung, et autres
Publié: (2026)

Weak Augmentation Guided Relational Self-Supervised Learning
par: Zheng, Mingkai, et autres
Publié: (2022)

Seeing the Whole in the Parts in Self-Supervised Representation Learning
par: Aubret, Arthur, et autres
Publié: (2025)

Semantic Concentration for Self-Supervised Dense Representations Learning
par: Wen, Peisong, et autres
Publié: (2025)

Automated Measurement of Eczema Severity with Self-Supervised Learning
par: Kumar, Neelesh, et autres
Publié: (2025)

Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
par: Manna, Siladittya, et autres
Publié: (2023)

Masking meets Supervision: A Strong Learning Alliance
par: Heo, Byeongho, et autres
Publié: (2023)

Unifying Self-Supervised Clustering and Energy-Based Models
par: Sansone, Emanuele, et autres
Publié: (2023)

TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras
par: Mohammadi, Mohammad, et autres
Publié: (2025)

Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
par: Wang, Jiayun, et autres
Publié: (2024)

Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds
par: Adams, Jadie, et autres
Publié: (2024)

Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration
par: Guo, Huijie, et autres
Publié: (2025)

KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
par: Zimmermann, Eric, et autres
Publié: (2025)

CLA: Latent Alignment for Online Continual Self-Supervised Learning
par: Cignoni, Giacomo, et autres
Publié: (2025)

Variational Self-Supervised Contrastive Learning Using Beta Divergence
par: Yavuz, Mehmet Can, et autres
Publié: (2023)

C2-Evo: Co-Evolving Multimodal Data and Model for Self-Improving Reasoning
par: Chen, Xiuwei, et autres
Publié: (2025)