Unsupervised Learning

Lose Your Self (LoYS): An Adversarial Entropy-based Unsupervised Approach for Model Debiasing WACV 2026 MDND: Unsupervised Learning Guided by Non-Differentiable Refinement for Shape Correspondence AAAI 2026 Modality-Aware Bias Mitigation and Invariance Learning for Unsupervised Visible-Infrared Person Re-Identification AAAI 2026 No Label? No Problem: Unsupervised Continual Learning for Adaptive Medical ASR EACL 2026 OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams AAAI 2026 OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection AAAI 2026 OWL: Unsupervised 3D Object Detection by Occupancy Guided Warm-up and Large Model Priors Reasoning AAAI 2026 Oxytrees: Model Trees for Bipartite Learning AAAI 2026 Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopy AAAI 2026 Parameter-Free Clustering via Self-Supervised Consensus Maximization AAAI 2026 PCU: Perturbation-Calibrated Uncertainty for Unsupervised Anomaly Detection UAI 2026 Perspective from a Broader Context: Can Room Style Knowledge Help Visual Floorplan Localization? AAAI 2026 Predicting Video Slot Attention Queries from Random Slot-Feature Pairs AAAI 2026 Probabilistic Deformation Consistency for Unsupervised Shape Matching AAAI 2026 Prometheus: Unsupervised Discovery of Phase Transitions and Order Parameters in the 2D Ising Model Using Variational Autoencoders (Student Abstract) AAAI 2026 P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning AAAI 2026 Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection WACV 2026 Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast AAAI 2026 RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection AAAI 2026 RealNet: Efficient and Unsupervised Detection of AI-Generated Images via Real-Only Representation Learning AAAI 2026 Refinement Contrastive Learning of Cell–Gene Associations for Unsupervised Cell Type Identification AAAI 2026 Reinforcement Learning Without Explicit Rewards: Theory and Practice AAAI 2026 Revisiting Layer Normalization for Point Cloud Test Time Adaptation WACV 2026 Reviving Unsupervised Optical Flow: Concept Reevaluation, Multi-Scale Advances and Full Open-Source Release WACV 2026 RFF-TTA: Physical Information-Aware Prototype for Temporally Varying RF Fingerprinting Online Test-Time-Adaptation AAAI 2026