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Contrastive Learning

3,748 papers

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Papers

DMGINE: Day-Memory Guided Nighttime Image Enhancement for Dynamic Traffic Scenes AAAI 2026 DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection ACL 2026 DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management ACL 2026 DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection AAAI 2026 Domain-Auxiliary Infrared Moving Small Target Detection by Learning to Overlook Domain Discrepancy AAAI 2026 Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction AAAI 2026 DRSoRec: Dual-Rectification of Social Networks for Recommendation AAAI 2026 Dual-Kernel Graph Community Contrastive Learning AAAI 2026 Dual-Path Knowledge-Augmented Contrastive Alignment Network for Spatially Resolved Transcriptomics AAAI 2026 Dynamics-Aware Planning Representation for Zero-Shot Reinforcement Learning (Student Abstract) AAAI 2026 Dynamic-Static Collaboration for Unsupervised Domain Adaptive Video-Based Visible-Infrared Person Re-Identification AAAI 2026 EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems AAAI 2026 Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency AAAI 2026 Ellipsoid-Based Decision Boundaries for Open Intent Classification AAAI 2026 Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection AAAI 2026 Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion AAAI 2026 Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective AAAI 2026 ExDDV: A New Dataset for Explainable Deepfake Detection in Video WACV 2026 Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation AAAI 2026 FACTrial: Factorized Clinical Contrastive Training for Scalable Patient-Trial Retrieval ACL 2026 FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning EACL 2026 False Alarm Rectification for Early Smoke Segmentation WACV 2026 FAM: Fine-Grained Alignment Matters in Multimodal Embedding Learning with Large Vision-Language Models AAAI 2026 FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention AAAI 2026 FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning AAAI 2026