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Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

Negative Entity Suppression for Zero-Shot Captioning with Synthetic Images AAAI 2026

SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning AAAI 2026

PointChain: Learning Generalizable Point Cloud Representations via Structural Chain Modeling AAAI 2026

APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift AAAI 2026

Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation AAAI 2026

Multi-graph Fusion Cross-model Contrastive Learning for Recommendation AAAI 2026

Bidirectional Counterfactual Distillation for Review-Based Recommendation AAAI 2026

Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment AAAI 2026

Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection AAAI 2026

Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment AAAI 2026

TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space AAAI 2026

HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings AAAI 2026

SSL-CST: Cell Segmentation for Single-Cell Spatial Transcriptome Based on Self-Supervised Learning AAAI 2026

PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations AAAI 2026

EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training AAAI 2026

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning AAAI 2026

RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering Under Multi-Source Noise AAAI 2026

Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction AAAI 2026

Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning AAAI 2026

HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning AAAI 2026

Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction AAAI 2026

AIM: Manifold-based Data Filtering for Representation Finetuning AAAI 2026

Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency AAAI 2026

Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026

FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations AAAI 2026