Machine Learning

Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract) AAAI 2026 Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning AAAI 2026 Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation AAAI 2026 Decomposition Sampling for Efficient Region Annotations in Active Learning WACV 2026 Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models AAAI 2026 Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis CVPR 2026 Deconvolution in unlinked linear models JMLR 2026 DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF AAAI 2026 Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models JMLR 2026 Decoupled Spatiotemporal Forecasting from Extreme Sparse Observations via Quantized Latent Space AAAI 2026 Decoupling Continual Semantic Segmentation AAAI 2026 Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving AAAI 2026 Decoupling Shape and Texture in SAM-2 via Controlled Texture Replacement WACV 2026 Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data AAAI 2026 Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation CVPR 2026 Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning AAAI 2026 Decoupling What to Count and Where to See for Referring Expression Counting AAAI 2026 DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026 Deep Clustering Based on Sparse Kolmogorov-Arnold Network and Spectral Constraint AAAI 2026 Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction AAAI 2026 Deepfake Detection that Generalizes Across Benchmarks WACV 2026 DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening AAAI 2026 Deep Image Decomposition for Medical Imaging Anonymization and Curation WACV 2026 Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment AAAI 2026 DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding EACL 2026