Machine Learning

Fast Guaranteed Robust Local-Smooth Principal Component Separation AAAI 2026 Fast Markov Random Field Optimisation for Topologically Noisy 3D Shape Matching CVPR 2026 Fast, Parallel, Query-Efficient Binary Classification COLT 2026 Fast Score-Based Sampling via Log-Concave Reductions COLT 2026 FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection CVPR 2026 Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing WACV 2026 Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space AAAI 2026 FCC: Fully Connected Correlation for One-Shot Segmentation WACV 2026 Feasibility-Aware Masked Transformer for the Pickup-and-Delivery Problem with Time Windows (Student Abstract) AAAI 2026 Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences AAAI 2026 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 Drift: How Fine-Tuning Repurposes Representations in LLMs EACL 2026 Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint) AAAI 2026 Feature Inversion as a Lens on Vision Encoders WACV 2026 FedAdamom: Adaptive Momentum for Improved Generalization in Federated Optimization CVPR 2026 FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models AAAI 2026 Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift 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 FedARKS: Federated Aggregation via Robust and Discriminative Knowledge Selection and Integration for Person Re-identification AAAI 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