Machine Learning

DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data AAAI 2026 DP-NCB: Privacy Preserving Fair Bandits AAAI 2026 DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering AAAI 2026 DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic AAAI 2026 DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs AAAI 2026 DRAGOn: Designing RAG On Periodically Updated Corpus EACL 2026 DRAGON: Domain-specific Robust Automatic Data Generation for RAG Optimization EACL 2026 Drainage: A Unifying Framework for Addressing Class Uncertainty CVPR 2026 Draken at SemEval-2026 Task 2: Frozen BERT Embeddings with Ridge Regression for Predicting Emotional Valence and Arousal SemEval 2026 DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning WACV 2026 DREAM: Dynamic Prompts and GuidedMix for Efficient Continual Adaptation of Visual-Language Models WACV 2026 Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion AAAI 2026 DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration CVPR 2026 DR.Experts: Differential Refinement of Distortion-Aware Experts for Blind Image Quality Assessment AAAI 2026 DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing AAAI 2026 Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning AAAI 2026 DRIFT: Difference-Aware Reinforcement Through Iterative Fine-Tuning for Language Model AAAI 2026 Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026 Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection AAAI 2026 Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving CVPR 2026 Driving on Registers CVPR 2026 DRIVINGVQA: A Dataset for Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios EACL 2026 Driving with Advice: Large Model as Motion Advisor for Joint Planning AAAI 2026 DRL-ORA: Distributional Reinforcement Learning with Online Epistemic Risk Adaptation UAI 2026 DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift AAAI 2026