Contrastive Learning
1,730 papers
Papers per year
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Papers
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection
AAAI 2023
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
AAAI 2023
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
AAAI 2023
Mitigating Negative Style Transfer in Hybrid Dialogue System
AAAI 2023
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
ACL 2023
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation
CVPR 2023
Modality-Agnostic Debiasing for Single Domain Generalization
CVPR 2023
Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms
EMNLP 2023
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
ICLR 2023
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition
CVPR 2023
MOSPC: MOS Prediction Based on Pairwise Comparison
ACL 2023
Multimodal Federated Learning via Contrastive Representation Ensemble
ICLR 2023
Multi-Modal Representation Learning With Text-Driven Soft Masks
CVPR 2023
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
CVPR 2023
Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction
AAAI 2023
Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding
ACL 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
ICML 2023
Multi-View Action Recognition Using Contrastive Learning
WACV 2023
Neighbor Contrastive Learning on Learnable Graph Augmentation
AAAI 2023
Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning
ACL 2023
Non-Contrastive Learning Meets Language-Image Pre-Training
CVPR 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
ICML 2023
“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion
AAAI 2023
On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning
ACL 2023
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning
ICLR 2023