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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
Deep Multi-view Subspace Clustering with Anchor Graph
IJCAI 2023
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search
IJCAI 2023
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
IJCAI 2023
Open-world Semi-supervised Novel Class Discovery
IJCAI 2023
Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction
IJCAI 2023
Contrastive Learning for Sign Language Recognition and Translation
IJCAI 2023
Multi-Modality Deep Network for JPEG Artifacts Reduction
IJCAI 2023
A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction
IJCAI 2023
VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data
IJCAI 2023
The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking
ACL 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
IJCAI 2022
Frame-Wise Action Representations for Long Videos via Sequence Contrastive Learning
CVPR 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
ICML 2022
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
ICML 2022
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
ICML 2022
CoNT: Contrastive Neural Text Generation
NIPS 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
NIPS 2022
Uncovering the Structural Fairness in Graph Contrastive Learning
NIPS 2022
Robust Cross-Modal Representation Learning With Progressive Self-Distillation
CVPR 2022
UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog
CVPR 2022
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance With Expanded Views
CVPR 2022
Contrastive Language-Image Pre-Training with Knowledge Graphs
NIPS 2022
Video-Text Representation Learning via Differentiable Weak Temporal Alignment
CVPR 2022
Pairwise Supervision Can Provably Elicit a Decision Boundary
AISTATS 2022
Rethinking Minimal Sufficient Representation in Contrastive Learning
CVPR 2022
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