Machine Learning

Towards Calibrating Prompt Tuning of Vision- Language Models CVPR 2026 Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios AAAI 2026 Towards Continually-Evolving AI: Selective and Expandable Multimodal Memory System AAAI 2026 Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions JMLR 2026 Towards Data-Efficient Deep Learning for RNA 3D Structure Prediction and Design AAAI 2026 Towards Distance-Invariant Radio Frequency Fingerprinting via Augmented Unsupervised Learning AAAI 2026 Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images AAAI 2026 Towards Effective Code-Integrated Reasoning AAAI 2026 Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling AAAI 2026 Towards Egocentric 3D Hand Pose Estimation in Unseen Domains WACV 2026 Towards Fair and Efficient De-identification: Quantifying the Efficiency and Generalizability of De-identification Approaches EACL 2026 Towards Fairness in Transportation Gig Markets: Identifying, Imitating, and Mitigating Algorithm Discrimination via Deep Reinforcement Learning AAAI 2026 Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework AAAI 2026 Towards High-Fidelity, Identity-Preserving Real-Time Makeup Transfer: Decoupling Style Generation WACV 2026 Towards Highly Transferable Vision-Language Attack via Semantic-Augmented Dynamic Contrastive Interaction CVPR 2026 Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations AAAI 2026 Towards Illumination-Aware Restoration of Metalens-Captured Images: A New Dataset and a Strong Baseline AAAI 2026 Toward Simultaneously Optimal Regret in U-Calibration COLT 2026 Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space AAAI 2026 Towards Long-window Anchoring in Vision-Language Model Distillation AAAI 2026 Towards Multimodal Domain Generalization with Few Labels CVPR 2026 Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection AAAI 2026 Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding AAAI 2026 Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026 Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise AAAI 2026