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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
SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts
EMNLP 2025
iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models
EMNLP 2025
Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
EMNLP 2025
Generalized Embedding Models for Industry 4.0 Applications
EMNLP 2025
LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients
EMNLP 2025
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction
EMNLP 2025
Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors
IJCAI 2025
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis
ACL 2025
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
ACL 2025
Enhancing Multimodal Unified Representations for Cross Modal Generalization
ACL 2025
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models
ACL 2025
CLeVeR: Multi-modal Contrastive Learning for Vulnerability Code Representation
ACL 2025
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
AAAI 2025
Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations
IJCAI 2025
Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison
ACL 2025
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
ACL 2025
Task-Specific Information Decomposition for End-to-End Dense Video Captioning
ACL 2025
SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification
NAACL 2025
Think Wider, Detect Sharper: Reinforced Reference Coverage for Document-Level Self-Contradiction Detection
EMNLP 2025
Sequence-level Large Language Model Training with Contrastive Preference Optimization
NAACL 2025
Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition
ACL 2025
A Context-Aware Contrastive Learning Framework for Hateful Meme Detection and Segmentation
NAACL 2025
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them
AAAI 2025
Alleviating Hallucinations of Large Language Models through Induced Hallucinations
NAACL 2025
LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning
ICCV 2025
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