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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

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

Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters AAAI 2026

MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity AAAI 2026

CL-DMDF: Dynamic Multimodal Data Fusion Model Based on Contrastive Learning AAAI 2026

Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models AAAI 2026

BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation AAAI 2026

Capturing Dynamic User Interests Under Modality Imbalance for Multimodal Sequential Recommendation AAAI 2026

Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning AAAI 2026

MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation AAAI 2026

SEFEL: A Simple Yet Effective Framework for Fast Event Linking AAAI 2026

SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems AAAI 2026

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

Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning AAAI 2026