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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
Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure Approach
EACL 2026
HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment
AAAI 2026
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
AAAI 2026
FAM: Fine-Grained Alignment Matters in Multimodal Embedding Learning with Large Vision-Language Models
AAAI 2026
DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering
AAAI 2026
Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder
AAAI 2026
PepCCD: A Contrastive Conditioned Diffusion Framework for Target-Specific Peptide Generation
AAAI 2026
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
AAAI 2026
Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling
AAAI 2026
KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering
AAAI 2026
Ambiguity-Tolerant Cross-Modal Hashing with Partial Labels
AAAI 2026
Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning
AAAI 2026
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
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