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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
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition
INTERSPEECH 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
ICML 2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
ICML 2023
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
ICML 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
ICML 2023
On the Generalization of Multi-modal Contrastive Learning
ICML 2023
Patch-level Contrastive Learning via Positional Query for Visual Pre-training
ICML 2023
Contrastive Learning Meets Homophily: Two Birds with One Stone
ICML 2023
Generalization Analysis for Contrastive Representation Learning
ICML 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
ICML 2023
Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
ICML 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
ICML 2023
A Picture of the Space of Typical Learnable Tasks
ICML 2023
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
ICML 2023
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation
ICML 2023
Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
ICML 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
ICML 2023
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations
ICML 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning
ICML 2023
Integrating Prior Knowledge in Contrastive Learning with Kernel
ICML 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
ICML 2023
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
ICML 2023
Mao-Zedong at SemEval-2023 Task 4: Label Represention Multi-Head Attention Model with Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification
SEMEVAL 2023
T.M. Scanlon at SemEval-2023 Task 4: Leveraging Pretrained Language Models for Human Value Argument Mining with Contrastive Learning
SEMEVAL 2023
HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model
SEMEVAL 2023
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