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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption AAAI 2026 Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract) AAAI 2026 Feature-Disentangling RGB-NIR Fusion Network for Remote Driver Physiological Measurement WACV 2026 Feature Drift: How Fine-Tuning Repurposes Representations in LLMs EACL 2026 Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint) AAAI 2026 Feature Integration Spaces: Joint Training Reveals Dual Encoding in Neural Network Representations AAAI 2026 Feature Inversion as a Lens on Vision Encoders WACV 2026 Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners CVPR 2026 FedAdamom: Adaptive Momentum for Improved Generalization in Federated Optimization CVPR 2026 Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift CVPR 2026 FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation CVPR 2026 FedAlign: Differentially Private Distribution Alignment for Non-IID Federated Learning CVPR 2026 FedARA: Resource-adaptive Low-rank Personalized Federated Learning via Anchor-driven Representation Alignment on Heterogeneous Edge Devices CVPR 2026 FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training AAAI 2026 FedBPrompt: Federated Domain Generalization Person Re-Identification via Body Distribution Aware Visual Prompts CVPR 2026 FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning AAAI 2026 FedCART: Tackling Long-Tailed Distributions in Federated Adversarial Training via Classifier Refinement CVPR 2026 FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning AAAI 2026 FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift CVPR 2026 FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation AAAI 2026 Federated Active Learning Under Extreme Non-IID and Global Class Imbalance CVPR 2026 Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections MIDL 2026 Federated Graph-level Clustering Network with Attribute Inference AAAI 2026 FedPAGR: Federated Prototype Alignment via Geometric Refinement for Heterogeneous Architectures ACL 2026 FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion ACL 2026