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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning NAACL 2025
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection AAAI 2025
Class Token as Proxy: Optimal Transport-assisted Proxy Learning for Weakly Supervised Semantic Segmentation ICCV 2025
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks AAAI 2025
A Dual Contrastive Learning Framework for Enhanced Hate Speech Detection in Low-Resource Languages COLING 2025
Class Semantic Attribute Perception Guided Zero-Shot Learning AAAI 2025
O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views ICCV 2025
Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding AAAI 2025
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning AAAI 2025
Pre-trained Behavioral Model for Malicious User Prediction on Social Platform AAAI 2025
Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant” AAAI 2025
Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks AAAI 2025
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression AAAI 2025
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025
Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation ICCV 2025
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks AAAI 2025
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder AAAI 2025
Hierarchical Consensus Network for Multiview Feature Learning AAAI 2025
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval AAAI 2025
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets AAAI 2025
Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning? AAAI 2025
Unsupervised Sentence Representation Learning with Syntactically Aligned Negative Samples NAACL 2025
Experiential Semantic Information and Brain Alignment: Are Multimodal Models Better than Language Models? ACL 2025
Intent Oriented Contrastive Learning for Sequential Recommendation AAAI 2025