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Methodology
← Learning Types
Machine Learning
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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
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training
CVPR 2025
Conditional Semantic Textual Similarity via Conditional Contrastive Learning
COLING 2025
AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment
COLING 2025
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples
NAACL 2025
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction
EMNLP 2025
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
ACL 2025
SVD-GCL: A Noise-Augmented Hybrid Graph Contrastive Learning Framework for Recommendation
COLING 2025
Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels
IJCAI 2025
Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths
ACL 2025
LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients
EMNLP 2025
LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks
COLING 2025
Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
EMNLP 2025
Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing
ACL 2025
Generalized Embedding Models for Industry 4.0 Applications
EMNLP 2025
Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention
ACL 2025
A Dual Contrastive Learning Framework for Enhanced Hate Speech Detection in Low-Resource Languages
COLING 2025
Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network
IJCAI 2025
Extracting the Essence and Discarding the Dross: Enhancing Code Generation with Contrastive Execution Feedback
COLING 2025
Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation
COLING 2025
Query-LIFE: Query-aware Language Image Fusion Embedding for E-Commerce Relevance
COLING 2025
Keys to Robust Edits: From Theoretical Insights to Practical Advances
ACL 2025
AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection
EMNLP 2025
Coupling Category Alignment for Graph Domain Adaptation
IJCAI 2025
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering
ACL 2025
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
EMNLP 2025
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