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contrastive learning

3979 papers

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CL

Co-occurring keywords

representation learning (6174) self-supervised learning (3751) multimodal learning (4622) unsupervised learning (3255) graph neural network (3945) vision-language model (2235) zero-shot learning (3637) domain adaptation (4578) large language model (12755) transfer learning (5442)

Papers

Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering AAAI 2025
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning AAAI 2025
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification AAAI 2025
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs AAAI 2025
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data AAAI 2025
TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis ACL 2025
Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors IJCAI 2025
LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning ICCV 2025
Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations IJCAI 2025
Multimodal Fusion and Coherence Modeling for Video Topic Segmentation ACL 2025
OuroMamba: A Data-Free Quantization Framework for Vision Mamba ICCV 2025
TicTac: Time-aware Supervised Fine-tuning for Automatic Text Dating ACL 2025
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning IJCAI 2025
Modeling Complex Semantics Relation with Contrastively Fine-Tuned Relational Encoders ACL 2025
Scaling 3D Compositional Models for Robust Classification and Pose Estimation ICCV 2025
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification ACL 2025
Asset Pricing with Contrastive Adversarial Variational Bayes IJCAI 2025
CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages ACL 2025
PartField: Learning 3D Feature Fields for Part Segmentation and Beyond ICCV 2025
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models ACL 2025
Embodied Representation Alignment with Mirror Neurons ICCV 2025
MolHFCNet: Enhancing Molecular Graph Representations with Hierarchical Feature Combining and Hybrid Pretraining IJCAI 2025
Weakly-Supervised Learning of Dense Functional Correspondences ICCV 2025
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks AAAI 2025
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach AAAI 2025