Deep Learning

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues ACL 2026 Prism: Cost-Efficient Multi-LLM Serving via GPU Memory Ballooning OSDI 2026 PRISM: Learning a Shared Primitive Space for Transferable Skeleton Action Representation CVPR 2026 PRISM: Probabilistic Reward Model with Inherent Structural Modeling ACL 2026 PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation ACL 2026 PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes CVPR 2026 Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks AAAI 2026 Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models ACL 2026 Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data AAAI 2026 Privacy-preserving Prosody Representation Learning ACL 2026 PrivateEyes: Gaze-Preserving Anonymization for Data Sharing CVPR 2026 PriVi: Towards a General-Purpose Video Model for Primate Behavior in the Wild CVPR 2026 PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data CVPR 2026 PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation CVPR 2026 ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics AAAI 2026 Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation MIDL 2026 Probabilistic Precipitation Nowcasting with Rectified Flow Transformers CVPR 2026 Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula JMLR 2026 Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding AAAI 2026 Probing and Bridging Geometry-Interaction Cues for Affordance Reasoning in Vision Foundation Models CVPR 2026 Probing Functional Correctness in Diffusion Language Models ACL 2026 ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration AAAI 2026 Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport WACV 2026 ProcessMaker: A Generalized Process Visualization Framework with Adaptive Sequence Steps on Diffusion Transformers CVPR 2026 Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards ACL 2026