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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning AAAI 2026 FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation WACV 2026 FedSDA: Federated Stain Distribution Alignment for Non-IID Histopathological Image Classification AAAI 2026 FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026 FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness AAAI 2026 FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting AAAI 2026 FedSST: Rethinking Fair Federated Graph Learning under Structural Shift CVPR 2026 FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching UAI 2026 FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions AAAI 2026 Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning WACV 2026 Feedback-Aware Prompt Optimization Framework for Generating Job Postings EACL 2026 Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden Deliberation ACL 2026 FER at SemEval-2026 Task 6: Analysis of Different Approaches to Unmasking Political Question Evasions SemEval 2026 FeTS: A Feature-Aware Framework for Time Series Forecasting AAAI 2026 Few-for-Many Personalized Federated Learning CVPR 2026 FGNet: Leveraging Feature-Guided Attention to Refine SAM2 for 3D EM Neuron Segmentation AAAI 2026 Fidelity-Aware Recommendation Explanations via Stochastic Path Integration AAAI 2026 FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning AAAI 2026 Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration AAAI 2026 FiMMIA: scaling semantic perturbation-based membership inference across modalities EACL 2026 FIND: A Simple Yet Effective Baseline for Diffusion-Generated Image Detection AAAI 2026 Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons UAI 2026 Finding Time Series Anomalies Using Granular-Ball Vector Data Description AAAI 2026 FINE: Factorized Multimodal Sentiment Analysis via Mutual INformation Estimation AAAI 2026 Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection AAAI 2026