Cover Image

GUESS: Generative Uncertainty Ensemble for Self Supervision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohamadi, Salman, Doretto, Gianfranco, Adjeroh, Donald A.
Format:	Preprint
Published:	2024
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

Direct Coloring for Self-Supervised Enhanced Feature Decoupling
by: Mohamadi, Salman, et al.
Published: (2024)

Rethinking Self-Supervised Learning Within the Framework of Partial Information Decomposition
by: Mohamadi, Salman, et al.
Published: (2024)

Improving Accuracy and Generalization for Efficient Visual Tracking
by: Zaveri, Ram, et al.
Published: (2024)

Efficient Classification of Histopathology Images
by: Nouyed, Mohammad Iqbal, et al.
Published: (2024)

Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
by: Zheng, Zhe, et al.
Published: (2026)

FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning
by: Devkota, Alina, et al.
Published: (2026)

Z-GMOT: Zero-shot Generic Multiple Object Tracking
by: Tran, Kim Hoang, et al.
Published: (2023)

SENSE: Self-Supervised Neural Embeddings for Spatial Ensembles
by: Gadirov, Hamid, et al.
Published: (2025)

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

Network Fission Ensembles for Low-Cost Self-Ensembles
by: Lee, Hojung, et al.
Published: (2024)

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

A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
by: Ntelemis, Foivos, et al.
Published: (2022)

Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
by: Gabetni, Firas, et al.
Published: (2025)

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
by: Li, Yuzhu, et al.
Published: (2025)

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

Modulate Your Spectrum in Self-Supervised Learning
by: Weng, Xi, et al.
Published: (2023)

Few-shot adaptation for morphology-independent cell instance segmentation
by: Zaveri, Ram J., et al.
Published: (2024)

Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations
by: Naeinian, Fatemeh, et al.
Published: (2026)

Self-Supervised Vision Transformers for Writer Retrieval
by: Raven, Tim, et al.
Published: (2024)

Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training
by: Doucet, Paul, et al.
Published: (2024)

Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation
by: Kirscher, Tristan, et al.
Published: (2026)

SAM3D: Segment Anything Model in Volumetric Medical Images
by: Bui, Nhat-Tan, et al.
Published: (2023)

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

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

Self-Tuning Self-Supervised Image Anomaly Detection
by: Yoo, Jaemin, et al.
Published: (2023)

Enhancing Multi-Label Thoracic Disease Diagnosis with Deep Ensemble-Based Uncertainty Quantification
by: Laksara, Yasiru, et al.
Published: (2025)

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

Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation
by: Kaleta, Joanna, et al.
Published: (2024)

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

S4: Self-Supervised Sensing Across the Spectrum
by: Shenoy, Jayanth, et al.
Published: (2024)

Self-Supervised Pretraining for Aerial Road Extraction
by: Polley, Rupert, et al.
Published: (2025)

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

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

Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)

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

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)