Machine Learning

Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection AAAI 2026 Enhancing Retrieval-Augmented Large Vision Language Models via Knowledge Conflict Mitigation AAAI 2026 Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection WACV 2026 Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract) AAAI 2026 Enhancing the Knowledge Tracing via a Plug-In Guided Diffusion Model AAAI 2026 Enhancing Urdu Sentiment Classification through Instruction-Tuned LLMs and Cross-Lingual Transfer EACL 2026 Enhancing User Safety: Context-Aware Detection of Offensive Query-Ad Pairs in Multimodal Search Advertising EACL 2026 Enhancing Vision Language Corruption Robustness using Cross-Distribution & Prompted Denoisers WACV 2026 Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning CVPR 2026 ENHash: Error Notebook-Guided Fine-Grained Learning for Unsupervised Cross-Modal Hashing AAAI 2026 Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm ALT 2026 Ensemble Diversity Optimization for Subjective Supervision UAI 2026 Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks EACL 2026 Entropy-Gated Branching for Efficient Test-Time Reasoning EACL 2026 EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation AAAI 2026 EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design AAAI 2026 EpiRDN: A Learnable Anisotropic Reaction-Diffusion Network for Epidemic Time Series Prediction UAI 2026 EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization AAAI 2026 EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance AAAI 2026 Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection AAAI 2026 Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift COLT 2026 Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization AAAI 2026 ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking AAAI 2026 ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization CVPR 2026 Error Analysis for Deep ReLU Feedforward Density-Ratio Estimation with Bregman Divergence JMLR 2026