conftrace_

contrastive regularization

20 papers

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contrastive learning (3) representation learning (3) feature disentanglement (2) semantic segmentation (2) masked sub-vector completion (1) self-attention transformer (1) gene expression vector (1) aspect-based sentiment analysis (1) text-to-text model (1) transformer-based model (1)

Papers

FraudGNAM: Inherently Interpretable Spectral GNN for Graph Fraud Detection UAI 2026 Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport WACV 2026 SeLaR: Selective Latent Reasoning in Large Language Models ACL 2026 TripleFDS: Triple Feature Disentanglement and Synthesis for Scene Text Editing AAAI 2026 OralXrays-9: Towards Hospital-Scale Panoramic X-ray Anomaly Detection via Personalized Multi-Object Query-Aware Mining CVPR 2025 Region-aware Difference Distilling with Attribute-guided Contrastive Regularization for Change Captioning AAAI 2025 Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations AAAI 2024 Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture CVPR 2024 SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation IJCAI 2024 Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing CVPR 2023 Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality NeurIPS 2023 Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment ICLR 2023 UCF: Uncovering Common Features for Generalizable Deepfake Detection ICCV 2023 Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization ICCV 2023 HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization CVPR 2022 Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question Answering NAACL 2022 CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding ICLR 2021 Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach NAACL 2021 Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning NeurIPS 2021 Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020