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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
Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning
NIPS 2023
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
NIPS 2023
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction
MIDL 2023
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification
MIDL 2023
MEDIMP: 3D Medical Images and clinical Prompts for renal transplant representation learning
MIDL 2023
Graph Contrastive Learning with Group Whitening
ACML 2023
HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities
CONLL 2023
Task-Oriented Koopman-Based Control with Contrastive Encoder
CORL 2023
Contrastive Value Learning: Implicit Models for Simple Offline RL
CORL 2023
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots
CORL 2023
Polybot: Training One Policy Across Robots While Embracing Variability
CORL 2023
Learning to Drive Anywhere
CORL 2023
Multi-view graph contrastive learning for solving vehicle routing problems
UAI 2023
Universal Graph Contrastive Learning with a Novel Laplacian Perturbation
UAI 2023
InfoNCE Loss Provably Learns Cluster-Preserving Representations
COLT 2023
Language-Driven Representation Learning for Robotics
RSS 2023
ECNU_MIV at SemEval-2023 Task 1: CTIM - Contrastive Text-Image Model for Multilingual Visual Word Sense Disambiguation
SEMEVAL 2023
Zhegu at SemEval-2023 Task 9: Exponential Penalty Mean Squared Loss for Multilingual Tweet Intimacy Analysis
SEMEVAL 2023
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection
SEMEVAL 2023
TAM of SCNU at SemEval-2023 Task 1: FCLL: A Fine-grained Contrastive Language-Image Learning Model for Cross-language Visual Word Sense Disambiguation
SEMEVAL 2023
Team INF-UFRGS at SemEval-2023 Task 7: Supervised Contrastive Learning for Pair-level Sentence Classification and Evidence Retrieval
SEMEVAL 2023
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection
SEMEVAL 2023
Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining
EACL 2023
Unified Neural Topic Model via Contrastive Learning and Term Weighting
EACL 2023
Don’t Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion
EACL 2023
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