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Methodology
← Learning Types
Machine Learning
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Learning Types
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Contrastive Learning
3535 directly classified papers
Papers per year
2011: 1
2013: 1
2014: 1
2017: 3
2018: 10
2019: 26
2020: 88
2021: 394
2022: 627
2023: 852
2024: 698
2025: 616
2026: 218
Papers
Review-Enhanced Hierarchical Contrastive Learning for Recommendation
AAAI 2024
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment
AAAI 2024
Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation
AAAI 2024
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
AAAI 2024
Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics
AAAI 2024
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
AAAI 2024
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need
AAAI 2024
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
AAAI 2024
TopoGCL: Topological Graph Contrastive Learning
AAAI 2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
AAAI 2024
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
AAAI 2024
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
AAAI 2024
Patch-Wise Graph Contrastive Learning for Image Translation
AAAI 2024
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model
AAAI 2024
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype
AAAI 2024
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
AAAI 2024
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
AAAI 2024
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
AAAI 2024
Graph-Aware Contrasting for Multivariate Time-Series Classification
AAAI 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
AAAI 2024
Multi-Label Supervised Contrastive Learning
AAAI 2024
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis
AAAI 2024
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
AAAI 2024
Robust Node Classification on Graph Data with Graph and Label Noise
AAAI 2024
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction
AAAI 2024
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