Machine Learning

DCoAR: Deep Concept Injection into Unified Autoregressive Models for Personalized Text-to-Image Generation CVPR 2026 DCRNet: Delayed Conversion Modeling Based Personalized Flight Itinerary Ranking Network AAAI 2026 DCSN-NLP at MWE-2026 AdMIRe 2: Bridging Literal and Figurative Meaning Through Hierarchical Multimodal Reasoning EACL 2026 DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering AAAI 2026 DCTR: Dual-Constraint Subgraph Optimization for Knowledge Graph-based Retrieval-Augmented Generation AAAI 2026 DDPM Score Matching and Distribution Learning (Extended Abstract) COLT 2026 DDSF: Robust Few-Shot Learning via Disentangled Subspaces with Determinantal Point Process CVPR 2026 Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder AAAI 2026 Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification AAAI 2026 Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding CLeaR 2026 De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning AAAI 2026 Debiased Orthogonal Boundary-Driven Efficient Noise Mitigation ACL 2026 Debiased Sample Selection for Learning with Noisy Labels CVPR 2026 Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis AAAI 2026 Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance AAAI 2026 Decentralized Online Convex Optimization with Unknown Feedback Delays AAAI 2026 Deciphering Genotype-Phenotype Mechanisms from High-Content Profiling via Knowledge-Guided Multi-modal Graph Learning CVPR 2026 Decision Boundary-aware Generation for Long-tailed Learning CVPR 2026 Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection AAAI 2026 Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents ACL 2026 Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation EACL 2026 Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score AAAI 2026 Decompose and Conquer: Compositional Reasoning for Zero-Shot Temporal Action Localization AAAI 2026 Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA AAAI 2026 Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint AAAI 2026