contrastive learning

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models AAAI 2026 Efficient Self-Supervised Adaptation of 3D Abdominal Vision-Language Model for Institution-Specific HCC Classification via Full Fine-Tuning and PEFT MIDL 2026 Ellipsoid-Based Decision Boundaries for Open Intent Classification AAAI 2026 EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning AAAI 2026 Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection AAAI 2026 Emotion-Wheel-Guided Audio-Referred Text Representation for Multimodal Emotion Recognition in Conversation ACL 2026 End-to-End Contrastive Language-Speech Pretraining Model for Long-Form Spoken Question Answering AAAI 2026 Enhancing Medical Large Vision-Language Models via Alignment Distillation AAAI 2026 Escaping the CAM Shadow: Uncertainty-Guided Reliable Learning for Weakly Supervised Semantic Segmentation AAAI 2026 EthoCLIP: Ontology-Enhanced Video-Language Pretraining for Animal Behavior Understanding CVPR 2026 Evidential Retriever: Uncertainty-Aware Medical Image Retrieval MIDL 2026 Evo-Retriever: LLM-Guided Curriculum Evolution with Viewpoint-Pathway Collaboration for Multimodal Document Retrieval CVPR 2026 Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI ACL 2026 Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation AAAI 2026 Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning AAAI 2026 Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking AAAI 2026 Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection AAAI 2026 Face-Guided Sentiment Boundary Enhancement for Weakly-Supervised Temporal Sentiment Localization CVPR 2026 Factorize, Reconstruct, Enhance: A Unified Framework for Multimodal Sentiment Analysis CVPR 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 FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering AAAI 2026 FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment CVPR 2026 FAM: Fine-Grained Alignment Matters in Multimodal Embedding Learning with Large Vision-Language Models AAAI 2026 FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning AAAI 2026