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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives AAAI 2026

CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction AAAI 2026

DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning AAAI 2026

Multi-View Differential Mixing and Graph-Guided Structural Region Selection for Cross-Modal Alignment AAAI 2026

HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning AAAI 2026

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

HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters AAAI 2026

Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs AAAI 2026

Multi-Level Domain Adaptation and Contrastive Domain Isolation with Bilinear Fusion for Patient Drug Response Prediction AAAI 2026

Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency AAAI 2026

PROMISE: Prompt-Attentive Hierarchical Contrastive Learning for Robust Cross-Modal Representation with Missing Modalities AAAI 2026

Conditional Distribution Learning for Graph Classification AAAI 2026

Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment AAAI 2026

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

SAMGTD: Spatial-Aware Masked Graph Transformer-Diffusion Model for Enhanced Cell Type Deconvolution in Spatial Transcriptomics AAAI 2026

Self-supervised Multiplex Consensus Mamba for General Image Fusion AAAI 2026

DRSoRec: Dual-Rectification of Social Networks for Recommendation AAAI 2026

TriFusion-IDS: A Multimodal Graph-Tabular-Text Contrastive Framework for Cross-Dataset Intrusion Detection AAAI 2026

Stage-Aware Graph Contrastive Learning with Node-oriented Mixture of Experts AAAI 2026

Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment AAAI 2026

Dual-Kernel Graph Community Contrastive Learning AAAI 2026

Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation AAAI 2026

Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation AAAI 2026

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space AAAI 2026

Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection AAAI 2026