Machine Learning

Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications AAAI 2026 Bayesian Network Structural Consensus via Greedy Min-Cut Analysis AAAI 2026 Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026 Bayesian Symbolic Regression with Entropic Reinforcement Learning UAI 2026 Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing JMLR 2026 Bayes-Optimal Fair Classification with Multiple Sensitive Features AAAI 2026 BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering AAAI 2026 B&B at SemEval-2026 Task 6: A RoBERTa-based Model with NLI-derived Semantic Features for Clarity-Level Classification of Political Question Evasion SemEval 2026 BCE3S: Binary Cross-Entropy Based Tripartite Synergistic Learning for Long-Tailed Recognition AAAI 2026 BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction AAAI 2026 BDLF-Qwen3: Enhanced Cross-Architecture Binary Function Similarity Detection Through Binary Dynamic Layer Fusion AAAI 2026 BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning CVPR 2026 BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks? AAAI 2026 Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images AAAI 2026 BeautyGRPO: Aesthetic Alignment for Face Retouching via Dynamic Path Guidance and Fine-Grained Preference Modeling CVPR 2026 Becoming Experienced Judges: Selective Test-Time Learning for Evaluators EACL 2026 BeDKD: Backdoor Defense Based on Directional Mapping Module and Adversarial Knowledge Distillation AAAI 2026 BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation AAAI 2026 BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes ACL 2026 Behavioral-Similarity and Clustering-Based Methods for Static Graph Estimation in Hybrid GNNs (Student Abstract) AAAI 2026 Behavior Knowledge Merge in Reinforced Agentic Models ACL 2026 Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning AAAI 2026 Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary AAAI 2026 Being Positive about Negative Queries: Exclusion Aware Multimodal Retrieval using Disentangled Representations WACV 2026 Benchmarking Direct Preference Optimization for Medical Large Vision–Language Models EACL 2026