Skip to content
conftrace_

contrastive learning

4,492 papers

CL

Papers

Fairness in Automatic Speech Recognition Isn’t a One-Size-Fits-All EMNLP 2025 FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos ICCV 2025 FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding CVPR 2025 FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation IJCAI 2025 FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning ICCV 2025 Federated Continuous Category Discovery and Learning ICCV 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025 FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning AAAI 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025 Few-shot Implicit Function Generation via Equivariance CVPR 2025 FG-CLIP: Fine-Grained Visual and Textual Alignment ICML 2025 Find Any Part in 3D ICCV 2025 Finding Shared Decodable Concepts and their Negations in the Brain ICLR 2025 Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning AAAI 2025 Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation CVPR 2025 FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs CVPR 2025 Fine-Tuning Encoder-Decoder Models with Contrastive Learning for In-Context Distractor Generation EMNLP 2025 FIRM: Fusion-Injected Residual Memory Brings Token-Level Alignment to Unsupervised VI-ReID ACML 2025 Fix-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text ICCV 2025 FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training CVPR 2025 FlashMix: Fast Map-Free LiDAR Localization via Feature Mixing and Contrastive-Constrained Accelerated Training WACV 2025 Flipping Knowledge Distillation: Leveraging Small Models’ Expertise to Enhance LLMs in Text Matching ACL 2025 Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion CVPR 2025 FOCUS: Towards Universal Foreground Segmentation AAAI 2025 Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment EMNLP 2025