Deep Learning

MoA: Mixture of Aggregators Improves Slide-Level Diagnosis in Computational Pathology MIDL 2026 MOA: Multi-Objective Alignment for Role-Playing Agents ACL 2026 MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment ACL 2026 Mobile-Oriented Video Diffusion: Enabling Text-to-Video Generation on Mobile Devices Without Retraining, Compression, or Pruning WACV 2026 Mobile-VTON: High-Fidelity On-Device Virtual Try-On CVPR 2026 MoBind: Motion Binding for Fine-Grained IMU-Video Pose Alignment CVPR 2026 MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings ACL 2026 Mocap-2-to-3: Multi-view Lifting for Monocular Motion Recovery with 2D Pretraining CVPR 2026 MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting AAAI 2026 MoCha: End-to-End Video Character Replacement without Structural Guidance CVPR 2026 Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards ACL 2026 MoCoDiff: A Controllable Autoregressive Diffusion Model for Expressive Motion Generation CVPR 2026 MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Preference Optimization CVPR 2026 Model Agnostic Graph Prompt Learning for Crystal Property Prediction UAI 2026 Model-free Domain Adaptation for Concealed Multimodal Large-Language Models WACV 2026 Modeling Cross-vision Synergy for Unified Large Vision Model CVPR 2026 Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation AAAI 2026 Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks AAAI 2026 Modeling Retinal Ganglion Cells with Neural Differential Equations (Student Abstract) AAAI 2026 Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction AAAI 2026 Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning AAAI 2026 Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space UAI 2026 Model Merging in the Essential Subspace CVPR 2026 Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning UAI 2026 MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping CVPR 2026