Conferences · eligible papers
AAAI
2022–2026 LIVE
2026 · 4,149 papers
このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。
- Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution
日本大学: 関与なし(対象大学)
- Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference
日本大学: 関与なし(対象大学)
- Mnemosyne: Accelerating Multi-Hop Question Answering via Cache Hit Order Fitting
日本大学: 関与なし(対象大学)
- MoBGS: Motion Deblurring Dynamic 3D Gaussian Splatting for Blurry Monocular Video
日本大学: 関与なし(対象大学)
- MoCHA: Advanced Vision-Language Reasoning with MoE Connector and Hierarchical Group Attention
日本大学: 関与なし(対象大学)
- MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting
日本大学: 関与なし(対象大学)
- MoE-Guided Graph Diffusion for Oriented Molecule Design
日本大学: 関与なし(対象大学)
- MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction
日本大学: 関与なし(対象大学)
- MoEG-HOI: Mixture of Expert Groups for One-Stage Hand-Object Interaction Motion Generation with Hand-Finger-Joint Semantic Guidance
日本大学: 関与なし(対象大学)
- MoEGaze: A Mixture of Experts Approach for Generalizable Gaze Estimation
日本大学: 関与なし(対象大学)
- MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm
日本大学: 関与なし(対象大学)
- MoE^2: A Mixture-of-Mixtures of Experts for Ensemble-Free Domain Generalization
日本大学: 関与なし(対象大学)
- MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation
日本大学: 関与なし(対象大学)
- MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions
日本大学: 関与なし(対象大学)
- MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
日本大学: 関与なし(対象大学)
- MoLoRA: Boosting LLM-based End-to-end Speech Translation with Mixture of Low-rank Experts
日本大学: 関与なし(対象大学)
- MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation
日本大学: 関与なし(対象大学)
- MoReMouse: Monocular Reconstruction of Laboratory Mouse
日本大学: 関与なし(対象大学)
- MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
日本大学: 関与なし(対象大学)
- MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation
日本大学: 関与なし(対象大学)
- MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender
日本大学: 関与なし(対象大学)
- Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation
日本大学: 関与なし(対象大学)
- ModalSyncSum: Synchronizing Image and Text for Reliable Summary Generation
日本大学: 関与なし(対象大学)
- Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval
日本大学: 関与なし(対象大学)
- Modality-Aware Bias Mitigation and Invariance Learning for Unsupervised Visible-Infrared Person Re-Identification
日本大学: 関与なし(対象大学)
- Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
日本大学: 関与なし(対象大学)
- Model Change for Description Logic Concepts
日本大学: 関与なし(対象大学)
- Model Counting for Dependency Quantified Boolean Formulas
日本大学: 関与なし(対象大学)
- Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm
日本大学: 関与なし(対象大学)
- Model Whisper: Steering Vectors Unlock Large Language Models’ Potential in Test-Time
日本大学: 関与なし(対象大学)
- Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection
日本大学: 関与なし(対象大学)
- Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation
日本大学: 関与なし(対象大学)
- Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks
日本大学: 関与なし(対象大学)
- Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction
日本大学: 関与なし(対象大学)
- Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG
日本大学: 関与なし(対象大学)
- Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning
日本大学: 関与なし(対象大学)
- Modulation-Based Backdoors: Leveraging Amplitude and Frequency Patterns to Attack Speaker Recognition
日本大学: 関与なし(対象大学)
- MolSight: Optical Chemical Structure Recognition with SMILES Pretraining, Multi-Granularity Learning and Reinforcement Learning
日本大学: 関与なし(対象大学)
- Mono3DVG-EnSD: Enhanced Spatial-aware and Dimension-decoupled Text Encoding for Monocular 3D Visual Grounding
日本大学: 関与なし(対象大学)
- MonoCLUE: Object-Aware Clustering Enhances Monocular 3D Object Detection
日本大学: 関与なし(対象大学)
- MonoCloth: Reconstruction and Animation of Cloth-Decoupled Human Avatars from Monocular Videos
日本大学: 関与なし(対象大学)
- MonoDream: Monocular Vision-Language Navigation with Panoramic Dreaming
日本大学: 関与なし(対象大学)
- Monocular Vehicle Pose and Shape Reconstruction via Dynamic Context Adaptation and Progressive Geometry Refinement
日本大学: 関与なし(対象大学)
- Monte Carlo Diffusion for Generalizable Learning-Based RANSAC
日本大学: 関与なし(対象大学)
- More than Irrational: Modeling Belief-Biased Agents
日本大学: 関与なし(対象大学)
- Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models
日本大学: 関与なし(対象大学)
- MosaicDoc: A Large-Scale Bilingual Benchmark for Visually Rich Document Understanding
日本大学: 関与なし(対象大学)
- Motion-Aware Object Tracking via Motion and Geometry-Aware Cues
日本大学: 関与なし(対象大学)
- MotionCharacter: Fine-Grained Motion Controllable Human Video Generation
日本大学: 関与なし(対象大学)
- MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models
日本大学: 関与なし(対象大学)
- MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation
日本大学: 関与なし(対象大学)
- MotivDance: Fine-Grained Text-Guided Motivation Choreography with Music Synchronization
日本大学: 関与なし(対象大学)
- MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity
日本大学: 関与なし(対象大学)
- MovieGraph-ToM: Evaluating Long-Range Theory of Mind in Large Language Models via Implicit Social-Causal Graphs
日本大学: 関与なし(対象大学)
- MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
日本大学: 関与なし(対象大学)
- MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems
日本大学: 関与なし(対象大学)
- MuSASplat: Efficient Sparse-View 3D Gaussian Splats via Lightweight Multi-Scale Adaptation
日本大学: 関与なし(対象大学)
- Multi-Agent Corridor Reasoning for Multi-Agent Path Finding
日本大学: 関与なし(対象大学)
- Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems
日本大学: 関与なし(対象大学)
- Multi-Agent Undercover Gaming: Hallucination Removal Through Counterfactual Test for Multimodal Reasoning
日本大学: 関与なし(対象大学)
- Multi-Aspect Cross-modal Quantization for Generative Recommendation
日本大学: 関与なし(対象大学)
- Multi-District School Choice: Playing on Several Fields
日本大学: 関与なし(対象大学)
- Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
日本大学: 関与なし(対象大学)
- Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks
日本大学: 関与なし(対象大学)
- Multi-Label Classification with Incremental and Decremental Features
日本大学: 関与なし(対象大学)
- Multi-Level Blur-Aware Stable Diffusion for Region-Adaptive Defocus Deblurring
日本大学: 関与なし(対象大学)
- Multi-Level Domain Adaptation and Contrastive Domain Isolation with Bilinear Fusion for Patient Drug Response Prediction
日本大学: 関与なし(対象大学)
- Multi-Metric Preference Alignment for Generative Speech Restoration
日本大学: 関与なし(対象大学)
- Multi-Modal Assistance for Unsupervised Domain Adaptation on Point Cloud 3D Object Detection
日本大学: 関与なし(対象大学)
- Multi-Modal Fact Knowledge Generation for Imbalanced Cross-Source Entity Alignment
日本大学: 関与なし(対象大学)
- Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization
日本大学: 関与なし(対象大学)
- Multi-Objective Bilevel Learning
日本大学: 関与なし(対象大学)
- Multi-Semantic Modeling for Glass Surface Detection in the Wild
日本大学: 関与なし(対象大学)
- Multi-Step Deformable Gaussian Splatting for Dynamic Scene Rendering
日本大学: 関与なし(対象大学)
- Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint
日本大学: 関与なし(対象大学)
- Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation
日本大学: 関与なし(対象大学)
- Multi-View Clustering with Granularity-Aware Pseudo Supervision
日本大学: 関与なし(対象大学)
- Multi-View Differential Mixing and Graph-Guided Structural Region Selection for Cross-Modal Alignment
日本大学: 関与なし(対象大学)
- Multi-Window Gabor Transform Network for Ground Penetrating Radar B-Scan Image Reconstruction
日本大学: 関与なし(対象大学)
- Multi-agent In-context Coordination via Decentralized Memory Retrieval
日本大学: 関与なし(対象大学)
- Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection
日本大学: 関与なし(対象大学)
- Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces
日本大学: 関与なし(対象大学)
- Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation
日本大学: 関与なし(対象大学)
- Multi-granularity Interactive Attention Framework for Residual Hierarchical Pronunciation Assessment
日本大学: 関与なし(対象大学)
- Multi-granularity Temporal Knowledge Editing over Large Language Models
日本大学: 関与なし(対象大学)
- Multi-graph Fusion Cross-model Contrastive Learning for Recommendation
日本大学: 関与なし(対象大学)
- Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring
日本大学: 関与なし(対象大学)
- Multi-level Style Preference Optimization: An Adaptive Detection Framework for Human-Machine Hybrid Text
日本大学: 関与なし(対象大学)
- Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering
日本大学: 関与なし(対象大学)
- Multi-view Invariance Learning for 3D Scene Graph Pre-training via Collaborative Cross-Modal Regularization
日本大学: 関与なし(対象大学)
- Multi-view Learning via Trusted Pairwise Entity Energy
日本大学: 関与なし(対象大学)
- MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation
日本大学: 関与なし(対象大学)
- MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA
日本大学: 関与なし(対象大学)
- MultiMotion: Multi Subject Video Motion Transfer via Video Diffusion Transformer
日本大学: 関与なし(対象大学)
- MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
日本大学: 関与なし(対象大学)
- Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation
日本大学: 関与なし(対象大学)
- Multigranular Evaluation for Brain Visual Decoding
日本大学: 関与なし(対象大学)
- Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports from Scratch with Agentic Framework
日本大学: 関与なし(対象大学)
- Multimodal Gaussian Mixture Variational Autoencoder with Consistency Regularizations
日本大学: 関与なし(対象大学)
- Multimodal Graph Representation Learning with Dynamic Information Pathways
日本大学: 関与なし(対象大学)