Machine Learning

Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Alpha Factor Mining AAAI 2026 NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment Regression SemEval 2026 Near-Exponential Convergence Rates for kNN Classifications based on Boltzmann Margin UAI 2026 Nearly Linear-Time User-Level DP-SCO with Optimal Rates COLT 2026 Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability ALT 2026 Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games L4DC 2026 Near-optimal Delta-convex Estimation of Lipschitz Functions JMLR 2026 Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions AAAI 2026 Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach COLT 2026 Near-optimal Swap Regret Minimization for Convex Losses COLT 2026 Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation EACL 2026 Negative Entity Suppression for Zero-Shot Captioning with Synthetic Images AAAI 2026 Negative Sampling Techniques in Dense Retrieval: A Survey EACL 2026 Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval AAAI 2026 Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels AAAI 2026 Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning EACL 2026 NerVast: Compression-Efficient Scaling of Implicit Neural Video Representations via Scene-based Parameter-sharing WACV 2026 NERVE: Neighbourhood & Entropy-Guided Random-Walk for Training Free Open-Vocabulary Segmentation WACV 2026 Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning AAAI 2026 Nested Subspace Learning with Flags JMLR 2026 Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract) AAAI 2026 NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint) AAAI 2026 Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series AAAI 2026 Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography AAAI 2026 Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis EACL 2026