Self-Supervised Learning

Ev-iCRF: Self-supervised Event-guided iCRF Estimation for HDR Image Reconstruction AAAI 2026 Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning AAAI 2026 Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation AAAI 2026 Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data WACV 2026 Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection AAAI 2026 Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking AAAI 2026 Exploring Reliable Spatiotemporal Dependencies for Efficient Visual Tracking AAAI 2026 Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration AAAI 2026 Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space AAAI 2026 FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations AAAI 2026 FNOPT: Resolution-Agnostic, Self-Supervised Cloth Simulation using Meta-Optimization with Fourier Neural Operators WACV 2026 Forget Less by Learning Together through Concept Consolidation WACV 2026 Frequency Is What You Need: Considering Word Frequency When Text Masking Benefits Vision-Language Model Pre-training WACV 2026 From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks AAAI 2026 From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning AAAI 2026 From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations AAAI 2026 From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy AAAI 2026 From Sentiment to Interpretation: Teaching NLP for Literary Understanding Across Educational Contexts EACL 2026 From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection AAAI 2026 From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning AAAI 2026 Fusing Time-Domain and Constellation Views: A Multimodal MAE for Wireless Signals (Student Abstract) AAAI 2026 GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving WACV 2026 GateFusion: Hierarchical Gated Cross-Modal Fusion for Active Speaker Detection WACV 2026 Generative Personality Simulation via Theory-Informed Structured Interview EACL 2026 GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoring WACV 2026