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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
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
AAAI 2024
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval
AAAI 2024
YNU-HPCC at SemEval-2024 Task 2: Applying DeBERTa-v3-large to Safe Biomedical Natural Language Inference for Clinical Trials
NAACL 2024
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction
AAAI 2024
Robust Node Classification on Graph Data with Graph and Label Noise
AAAI 2024
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding
NIPS 2024
Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes
NAACL 2024
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
AAAI 2024
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis
AAAI 2024
BDA at SemEval-2024 Task 4: Detection of Persuasion in Memes Across Languages with Ensemble Learning and External Knowledge
NAACL 2024
Multi-Label Supervised Contrastive Learning
AAAI 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
AAAI 2024
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?
NAACL 2024
IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual Texts
NAACL 2024
Graph-Aware Contrasting for Multivariate Time-Series Classification
AAAI 2024
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
AAAI 2024
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
NAACL 2024
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
AAAI 2024
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
AAAI 2024
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
NIPS 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
NAACL 2024
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype
AAAI 2024
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model
AAAI 2024
CLGSI: A Multimodal Sentiment Analysis Framework based on Contrastive Learning Guided by Sentiment Intensity
NAACL 2024
Patch-Wise Graph Contrastive Learning for Image Translation
AAAI 2024
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