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feature augmentation

72 papers

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Co-occurring keywords · papers mentioning both

data augmentation (13) neural network (9) domain adaptation (9) domain generalization (9) transfer learning (7) representation learning (7) contrastive learning (6) long-tailed distribution (4) graph neural network (4) generative adversarial network (4)

Papers

SemanticNN: Compressive and Error-Resilient Semantic Offloading for Extremely Weak Devices AAAI 2026 Aligning Contrastive Multiple Clusterings with User Interests IJCAI 2025 Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels AAAI 2025 DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics IJCAI 2025 Diffusion-based Source-biased Model for Single Domain Generalized Object Detection ICCV 2025 Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction AAAI 2025 ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection ICCV 2025 Feature Augmentation Based Test-Time Adaptation WACV 2025 Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation CVPR 2025 Linear Bandits with Partially Observable Features ICML 2025 Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025 ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization IJCAI 2025 RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions CVPR 2025 Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning WACV 2025 Take the Bull by the Horns: Learning to Segment Hard Samples CVPR 2025 When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach ICLR 2025 Community-Invariant Graph Contrastive Learning ICML 2024 Cross-Class Feature Augmentation for Class Incremental Learning AAAI 2024 Cross-Domain Feature Augmentation for Domain Generalization IJCAI 2024 FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation WACV 2024 Feature-augmented model for multilingual discourse relation classification EACL 2024 FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NeurIPS 2024 Knowledge Distillation for Tiny Speech Enhancement with Latent Feature Augmentation Interspeech 2024 Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization WACV 2024 Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning ICML 2024