Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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859
1,652
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5,368
6,434
7,726
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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