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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Latent Expression Generation for Referring Image Segmentation and Grounding ICCV 2025
WildSAT: Learning Satellite Image Representations from Wildlife Observations ICCV 2025
Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval ICCV 2025
PartField: Learning 3D Feature Fields for Part Segmentation and Beyond ICCV 2025
Hierarchical-aware Orthogonal Disentanglement Framework for Fine-grained Skeleton-based Action Recognition ICCV 2025
Embodied Representation Alignment with Mirror Neurons ICCV 2025
Weakly-Supervised Learning of Dense Functional Correspondences ICCV 2025
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding ICCV 2025
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification ACL 2025
Two Outliers at BEA 2025 Shared Task: Tutor Identity Classification using DiReC, a Two-Stage Disentangled Contrastive Representation ACL 2025
MedSummRAG: Domain-Specific Retrieval for Medical Summarization ACL 2025
IRSum: One Model to Rule Summarization and Retrieval ACL 2025
Making LVLMs Look Twice: Contrastive Decoding with Contrast Images ACL 2025
SciBERT Meets Contrastive Learning: A Solution for Scientific Hallucination Detection ACL 2025
Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model’s Capability of Emotion Perception using Contrastive Learning ACL 2025
RACAI at SemEval-2025 Task 7: Efficient adaptation of Large Language Models for Multilingual and Crosslingual Fact-Checked Claim Retrieval ACL 2025
Shouth NLP at SemEval-2025 Task 7: Multilingual Fact-Checking Retrieval Using Contrastive Learning ACL 2025
Multiplex Graph Representation Learning with Homophily and Consistency AAAI 2025
Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback COLING 2025
DrugHash: Hashing Based Contrastive Learning for Virtual Screening AAAI 2025
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning AAAI 2025
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025
Contrastive Representation for Interactive Recommendation AAAI 2025
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks AAAI 2025
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation AAAI 2025