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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
Towards User-Driven Neural Machine Translation
IJCNLP 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
IJCNLP 2021
CLEVE: Contrastive Pre-training for Event Extraction
IJCNLP 2021
Improving Factual Consistency of Abstractive Summarization on Customer Feedback
IJCNLP 2021
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
NAACL 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
NAACL 2021
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
NAACL 2021
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
IJCNLP 2021
COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction
CVPR 2021
Lightweight Cross-Lingual Sentence Representation Learning
IJCNLP 2021
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
NAACL 2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
IJCNLP 2021
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning
IJCNLP 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
IJCNLP 2021
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
IJCNLP 2021
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering
IJCNLP 2021
DynaEval: Unifying Turn and Dialogue Level Evaluation
IJCNLP 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
IJCNLP 2021
Contrastive learning of strong-mixing continuous-time stochastic processes
AISTATS 2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
NAACL 2021
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
WACV 2021
Wasserstein Contrastive Representation Distillation
CVPR 2021
Contrastive Estimation Reveals Topic Posterior Information to Linear Models
JMLR 2021
CLAR: Contrastive Learning of Auditory Representations
AISTATS 2021
Constructing contrastive samples via summarization for text classification with limited annotations
EMNLP 2021
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