Machine Learning

Hierarchical Direction Perception via Atomic Dot-Product Operators for Rotation-Invariant Point Clouds Learning AAAI 2026 Hierarchical Instance Tracking to Balance Privacy Preservation with Accessible Information WACV 2026 Hierarchically Robust Zero-shot Vision-language Models CVPR 2026 HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models AAAI 2026 Hierarchical Reinforcement Learning with Topology-Aware Exploration Framework for Multi-path Commodity Flow Problem AAAI 2026 Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling AAAI 2026 Hierarchical Semantic Alignment for Image Clustering AAAI 2026 Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing AAAI 2026 Hierarchical Text Classification with LLM-Refined Taxonomies EACL 2026 HierarNet: Independent Interactive Hierarchical Disease Outbreak Forecasting AAAI 2026 Hier-COS: Making Deep Features Hierarchy-aware via Composition of Orthogonal Subspaces CVPR 2026 HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches AAAI 2026 HiFi-Mamba: Dual-Stream ?-Laplacian Enhanced Mamba for High-Fidelity MRI Reconstruction AAAI 2026 HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models AAAI 2026 High-Accuracy Log-Concave Sampling with Stochastic Queries COLT 2026 High-Dimensional Analysis of Gradient Flow for Extensive-Width Quadratic Neural Networks JMLR 2026 High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026 High-Dimensional Gaussian Mean Estimation under Realizable Contamination COLT 2026 High-dimensional Parameter Transfer With Fused-Regularizer JMLR 2026 Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities UAI 2026 High-Order Error Bounds for Markovian LSA with Richardson–Romberg Extrapolation AAAI 2026 High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption UAI 2026 High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks AAAI 2026 High Probability Convergence Guarantees of Stochastic Gradient Descent Ascent in Structured Nonconvex Min-Max Games COLT 2026 High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization WACV 2026