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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
Learning to Revise References for Faithful Summarization
EMNLP 2022
Learning From the Source Document: Unsupervised Abstractive Summarization
EMNLP 2022
Learning to Retrieve Passages without Supervision
NAACL 2022
Whodunit? Learning to Contrast for Authorship Attribution
AACL 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
ICML 2022
Approximate Bayesian Computation via Classification
JMLR 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
ICML 2022
Investigating Why Contrastive Learning Benefits Robustness against Label Noise
ICML 2022
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling
EMNLP 2022
Self-supervised Rewiring of Pre-trained Speech Encoders:Towards Faster Fine-tuning with Less Labels in Speech Processing
EMNLP 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
ICML 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
ICML 2022
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations
ICML 2022
Do More Negative Samples Necessarily Hurt In Contrastive Learning?
ICML 2022
Time Is MattEr: Temporal Self-supervision for Video Transformers
ICML 2022
On the Surrogate Gap between Contrastive and Supervised Losses
ICML 2022
Contrastive Learning with Boosted Memorization
ICML 2022
Contrastive Regression for Domain Adaptation on Gaze Estimation
CVPR 2022
UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning
CVPR 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations
CVPR 2022
Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning
CVPR 2022
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
CVPR 2022
Multi-Level Feature Learning for Contrastive Multi-View Clustering
CVPR 2022
On Learning Contrastive Representations for Learning With Noisy Labels
CVPR 2022
Multi-Modal Alignment Using Representation Codebook
CVPR 2022
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