← Learning Types
Machine Learning › Learning Types ›

Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

Harnessing Object Grounding for Time-Sensitive Video Understanding WACV 2026
Similar Region Search using LLMs on Spatial Feature Space EACL 2026
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback EACL 2026
Enhancing Automatic Speech Recognition Models for Maternal and Reproductive Health: Fine-Tuning and Real-World Evaluation in Wolof EACL 2026
Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer EACL 2026
Complexity-aware fine-tuning EACL 2026
Harmful Factuality: LLMs Correcting What They Shouldn’t EACL 2026
MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning EACL 2026
SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance WACV 2026
SAIL: Self-supervised Learning of Lighting-Invariant Representations from Real Images with Latent Diffusion WACV 2026
CoReTab: Improving Multimodal Table Understanding with Code-driven Reasoning EACL 2026
A Dataset and Framework for Learning State-invariant Object Representations WACV 2026
Directed Attention is All You Need: Profiling Style from Limited Text Data EACL 2026
FNOPT: Resolution-Agnostic, Self-Supervised Cloth Simulation using Meta-Optimization with Fourier Neural Operators WACV 2026
GateFusion: Hierarchical Gated Cross-Modal Fusion for Active Speaker Detection WACV 2026
Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans WACV 2026
UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training WACV 2026
Imitating the Functionality of Image-to-Image Models Using a Single Example WACV 2026
Improving Out-of-Distribution Detection Using Segmented Images and Cross-View Attention Fusion WACV 2026
A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis WACV 2026
DRIFT: Difference-Aware Reinforcement Through Iterative Fine-Tuning for Language Model AAAI 2026
What Happens When: Learning Temporal Orders of Events in Videos WACV 2026
TS-PCI: Point Cloud Frame Interpolation with Time-Aware Point Cloud Sampling and Self-Supervised Learning Strategy WACV 2026
Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport WACV 2026
Anatomically-guided Masked Autoencoder Pre-training for Aneurysm Detection WACV 2026