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Contrastive Learning

3,748 papers

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Papers

OneLIP: Unlocking and Improving Long-Text Representations of CLIP via One-Stage Adaptation AAAI 2026 One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations EACL 2026 One-Shot Fine-Grained Re-Identification of Paint Marked Honey Bees using Vision Foundation Models WACV 2026 Online Multi-Relational Clustering with Dominant View Mining AAAI 2026 Overcoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment WACV 2026 OW-Rep: Open World Object Detection with Instance Representation Learning WACV 2026 PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning AAAI 2026 PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology WACV 2026 PepCCD: A Contrastive Conditioned Diffusion Framework for Target-Specific Peptide Generation AAAI 2026 PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation AAAI 2026 PROMISE: Prompt-Attentive Hierarchical Contrastive Learning for Robust Cross-Modal Representation with Missing Modalities AAAI 2026 QAPNet: A Quantum-Attentive Patchwise Network for Robust Medical Image Classification Under Noisy Inputs AAAI 2026 Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation AAAI 2026 RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection AAAI 2026 RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering Under Multi-Source Noise AAAI 2026 RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability AAAI 2026 Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast AAAI 2026 Reality vs Counterfactual: Multi-World Contrastive Reinforcement Learning for Enhancing MLLM’s Theory of Mind in Egocentric Videos AAAI 2026 Refinement Contrastive Learning of Cell–Gene Associations for Unsupervised Cell Type Identification AAAI 2026 ReflectiveRAG: Rethinking Adaptivity in Retrieval-Augmented Generation EACL 2026 Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes EACL 2026 Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters AAAI 2026 Robust Integrative Analysis of Multi-omics Datasets via Nuclear-norm Maximization AAAI 2026 Robust Scene Coordinate Regression via Geometrically-Consistent Global Descriptors WACV 2026 Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis AAAI 2026