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feature representation

551 papers

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representation learning (64) convolutional neural network (63) self-supervised learning (41) transfer learning (38) person re-identification (38) contrastive learning (37) neural network (37) image classification (34) unsupervised learning (31) domain adaptation (31)

Papers

Wi-CBR: Salient-aware Adaptive WiFi Sensing for Cross-domain Behavior Recognition AAAI 2026 3D-SPATIAL MULTIMODAL MEMORY ICLR 2025 Achieving Ensemble-Like Performance in a Single Model: A Feature Diversification Framework for Image-Text Matching AAAI 2025 Activating Sparse Part Concepts for 3D Class Incremental Learning CVPR 2025 Adversarial Reconstruction Feedback for Robust Fine-grained Generalization ICCV 2025 A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis ICLR 2025 Asymmetric Reinforcing Against Multi-Modal Representation Bias AAAI 2025 Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness ICLR 2025 ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces WACV 2025 Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation MIDL 2025 DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization AAAI 2025 Deep Disentangled Metric Learning AAAI 2025 Denoising Diffusion Models are Good General Gaze Feature Learners IJCAI 2025 DM-EFS: Dynamically Multiplexed Expanded Features Set Form for Robust and Efficient Small Object Detection ICCV 2025 Equal Truth: Rumor Detection with Invariant Group Fairness EMNLP 2025 Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection WACV 2025 Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains WACV 2025 Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark ICCV 2025 FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025 Flow-MIL: Constructing Highly-expressive Latent Feature Space For Whole Slide Image Classification Using Normalizing Flow ICCV 2025 GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning AAAI 2025 High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer WACV 2025 HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection AAAI 2025 Improving Deep Regression with Tightness ICLR 2025 Improving Generalization of End-to-End ASR through Diversity and Independence Regularization Interspeech 2025