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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering AAAI 2026

Autonomous Partner Selection for Cooperative Multi-Agent Reinforcement Learning AAAI 2026

Time-Frequency Augmented Multi-level Contrastive Clustering for Time Series AAAI 2026

Robust Integrative Analysis of Multi-omics Datasets via Nuclear-norm Maximization AAAI 2026

Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives AAAI 2026

CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness AAAI 2026

Cross-View Progressive Feature Filtering for Multi-View Graph Clustering in Remote Sensing AAAI 2026

Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning AAAI 2026

Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering AAAI 2026

Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning AAAI 2026

C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning AAAI 2026

LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs AAAI 2026

Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval AAAI 2026

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