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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Learning Semi-Supervised Medical Image Segmentation from Spatial Registration WACV 2025
CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection AAAI 2025
AlexUNLP-FMT at ClimateCheck Shared Task: Hybrid Retrieval with Adaptive Similarity Graph-based Reranking for Climate-related Social Media Claims Fact Checking ACL 2025
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model AAAI 2025
Beyond Citations: Integrating Finding-Based Relations for Improved Biomedical Article Representations ACL 2025
CTIP: Towards Accurate Tabular-to-Image Generation for Tire Footprint Generation WACV 2025
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction (Abstract Reprint) IJCAI 2025
YNU-HPCC at SemEval-2025 Task 5: Contrastive Learning for GND Subject Tagging with Multilingual Sentence-BERT ACL 2025
Multi-View Collaborative Learning Network for Speech Deepfake Detection AAAI 2025
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation WACV 2025
scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data IJCAI 2025
Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation under Degradation WACV 2025
Oath Breakers at SemEval-2025 Task 06: PromiseEval ACL 2025
External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection AAAI 2025
DKE-Research at SemEval-2025 Task 7: A Unified Multilingual Framework for Cross-Lingual and Monolingual Retrieval with Efficient Language-specific Adaptation ACL 2025
mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion AAAI 2025
Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment ACL 2025
Multi-Scale Contrastive Learning for Video Temporal Grounding AAAI 2025
Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments ACL 2025
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction AAAI 2025
Dynamic Dictionary Learning for Remote Sensing Image Segmentation ICCV 2025
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning ICCV 2025
Contrastive Flow Matching ICCV 2025
Backdooring Self-Supervised Contrastive Learning by Noisy Alignment ICCV 2025
Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning AAAI 2025