Machine Learning

Latent Representations of Land–Sea Boundaries and Extreme Temperature in Aurora’s Encoder (Student Abstract) AAAI 2026 Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning AAAI 2026 Latent Uncertainty-Aware Multi-View SDF Scan Completion WACV 2026 LatentVLA: Taming Latent Space for Generalizable and Long-Horizon Bimanual Manipulation AAAI 2026 Layer Consistency Matters: Elegant Latent Transition Discrepancy for Generalizable Synthetic Image Detection CVPR 2026 Layer-wise Swapping for Generalizable Multilingual Safety EACL 2026 LazyDINO: Fast, Scalable, and Efficiently Amortized Bayesian Inversion via Structure-Exploiting and Surrogate-Driven Measure Transport JMLR 2026 LC3: Long Cross-Language Code Clone Detection Enhanced by Opcode Sequences and Affinity Aggregation AAAI 2026 LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving CVPR 2026 Leakage-Aware User-Level ADHD Signal Classification from Social Media: When Graph Aggregation Helps, and When It Does Not ACL 2026 LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval AAAI 2026 Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge AAAI 2026 Learnability-Driven Submodular Optimization for Active Roadside 3D Detection CVPR 2026 Learnable Matrix Profile for Motif Discovery on Multivariate Time Series AAAI 2026 Learnable Permutation for Structured Sparsity on Transformer Models AAAI 2026 Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN AAAI 2026 Learning 3D Reconstruction with Priors in Test Time CVPR 2026 Learning Adaptive and Expandable Mixture Model for Continual Learning AAAI 2026 Learning a Fix and Explore Framework for Continuous Generalized Category Discovery AAAI 2026 Learning Anchor in Dual Orthogonal Space for Fast Multi-view Clustering CVPR 2026 Learning-Augmented Heuristics: Simple Yet Smart, Robust and Interpretable Cache Eviction OSDI 2026 Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach AAAI 2026 Learning-based Optimal Admission Control for Erlang-B Queuing Systems UAI 2026 Learning-Based Resilient Interval Observers for Nonlinear Discrete-Time Bounded-Error Systems L4DC 2026 Learning Bayesian and Markov Networks with an Unreliable Oracle UAI 2026