Machine Learning

Learning Bayesian Network Classifiers to Minimize Class Variable Parameters JMLR 2026 Learning Better UAV-Based Cross-View Object Geo-Localization from Multi-Modal Prompts: MoP-UAV Benchmark and MoPT Framework AAAI 2026 Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization AAAI 2026 Learning Beyond Labels: Self-Supervised Handwritten Text Recognition WACV 2026 Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation AAAI 2026 Learning Branching Policies for MILPs with Proximal Policy Optimization AAAI 2026 Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling AAAI 2026 Learning Compact 3D Representations from Feed-Forward Novel View Synthesis CVPR 2026 Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details AAAI 2026 Learning Compact Video Representations for Efficient Long-form Video Understanding in Large Multimodal Models WACV 2026 Learning Conditional Averages COLT 2026 Learning control variables and instruments for causal analysis in observational data CLeaR 2026 Learning Decision-Sufficient Representations for Linear Optimization COLT 2026 Learning depth-3 circuits via quantum agnostic boosting COLT 2026 Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation AAAI 2026 Learning DFAs from Positive Examples Only via Word Counting AAAI 2026 Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations AAAI 2026 Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract) AAAI 2026 Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition AAAI 2026 Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes L4DC 2026 Learning Expressive Random Feature Models via Parametrized Activations UAI 2026 Learning Fair Graph Representations via Probability of Necessity and Sufficiency AAAI 2026 Learning Fair Representations with Kolmogorov-Arnold Networks AAAI 2026 Learning from Answer Sets via Single-Shot Disjunctive ASP Encoding AAAI 2026 Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget (extended abstract) COLT 2026