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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

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

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

To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance 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

Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs AAAI 2026

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

DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise AAAI 2026

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

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

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

DIN: Dual Impulse Network for Multi-view Representation Learning AAAI 2026

DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering AAAI 2026

DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection AAAI 2026

Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder AAAI 2026

Stationary and Clustering Transformer Hashing for Cross-modal Retrieval AAAI 2026

DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion AAAI 2026

GATCL: An Adaptive Contrastive Learning Framework Based on MHGAT for Spatial Domain Identification in Spatial Transcriptomics AAAI 2026