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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
CLICK: Contrastive Learning for Injecting Contextual Knowledge to Conversational Recommender System
EACL 2023
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders
EACL 2023
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction
EACL 2023
Closed-book Question Generation via Contrastive Learning
EACL 2023
PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?
EACL 2023
Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision
EACL 2023
Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models
EACL 2023
ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining
EACL 2023
Incorporating Task-Specific Concept Knowledge into Script Learning
EACL 2023
Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention
EACL 2023
Detecting Contextomized Quotes in News Headlines by Contrastive Learning
EACL 2023
Generalization Bounds for Adversarial Contrastive Learning
JMLR 2023
RVCL: Evaluating the Robustness of Contrastive Learning via Verification
JMLR 2023
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
WACV 2023
Do Pre-Trained Models Benefit Equally in Continual Learning?
WACV 2023
Semantics Guided Contrastive Learning of Transformers for Zero-Shot Temporal Activity Detection
WACV 2023
Is Your Noise Correction Noisy? PLS: Robustness To Label Noise With Two Stage Detection
WACV 2023
No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images
WACV 2023
DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings
WACV 2023
Self-Attention Message Passing for Contrastive Few-Shot Learning
WACV 2023
More Than Just Attention: Improving Cross-Modal Attentions With Contrastive Constraints for Image-Text Matching
WACV 2023
Multi-Level Contrastive Learning for Self-Supervised Vision Transformers
WACV 2023
Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information
WACV 2023
Representation Disentanglement in Generative Models With Contrastive Learning
WACV 2023
Image-Free Domain Generalization via CLIP for 3D Hand Pose Estimation
WACV 2023
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